Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Activity Details

CE_08C	Sun, 7/29/2018, 8:00 AM - 12:00 PM	CC-East 13
Statistical and Computational Methods and Software for Microbiome and Metagenomics and Applications (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Statistics in Genomics and Genetics
Instructor(s): Curtis Huttenhower, Harvard University; Hongzhe Li, University of Pennsylvania
The microbial organisms in and on human body constitute the human microbiome, of which the largest collection of microbes resides in the gut. The gut microbiome plays an important role in human health and disease. Research in the last decades have clearly shown that perturbation of the microbial ecosystem could be responsible for many complex . High-throughput sequencing technologies make it possible to interrogate the metagenomics of all microbes in human gut, which allows us to characterize composition of both microbe genes and species, to quantify the dynamics of a microbial ecosystem and to understand their role in human diseases. Analysis of such microbiome and metagenomics data is however challenging due to complexity of the communities and high dimensionality of the data. This course will introduce the statistical and computational tools for functional metagenomics, including methods for accurately estimating the microbial composition, genes and functional group composition of a microbiome, methods for identifying disease-associated bacterial taxa based on high dimensional compositional data and their mediating. Software demos will be also provided so that students will leave the course with the tools necessary to perform common analyses of microbiome and metagenomics data. Detailed analysis of the HMP data will be presented.
8:00 AM	Statistical and Computational Methods and Software for Microbiome and Metagenomics and Applications (ADDED FEE) Curtis Huttenhower, Harvard University; Hongzhe Li, University of Pennsylvania

13 *	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 222
Integrative Approaches for Analysis of Complex Phenotype and DNA Sequence Data — Invited Papers
ENAR, WNAR, Section on Statistics in Genomics and Genetics
Organizer(s): Dmitri Zaykin, National Institute of Environmental Health Sciences
Chair(s): Dmitri Zaykin, National Institute of Environmental Health Sciences
2:05 PM	Simultaneous Genetic Analysis of Sequence Data from a Pair of Organisms That Jointly Influence a Phenotype Mary Sara McPeek, University of Chicago; Miaoyan Wang, UC Berkeley
2:25 PM	Genetic Analysis of High-Dimensional Phenotypes Presentation Michael Philip Epstein, Emory University
2:45 PM	Rare Variant Prioritization Using Structure-Supervised Locus-Specific Tests Presentation Jung-Ying Tzeng, North Carolina State University; Rachel Marceau, North Carolina State University; Wenbin Lu, North Carolina State University
3:05 PM	Unified Sequence Based Association Tests Allowing for Multiple Functional Annotation Scores, and Applications to Meta-Analysis of Noncoding Variation in Metabochip Data Iuliana Ionita-Laza, Columbia University
3:25 PM	Discussant: Olga Vsevolozhskaya, University of Kentucky
3:45 PM	Floor Discussion

29	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 212
SPEED: An Ensemble of Advances in Genomics and Genetics — Contributed Speed
Section on Statistics in Genomics and Genetics, ENAR, SSC, Section on Risk Analysis, Section on Statistical Computing, Biometrics Section
Chair(s): Paul Little, UNC Chapel Hill
Poster Presentations for this session.
2:05 PM	Discrete Principal Component Analysis for Population Stratification Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:10 PM	On Using Gene Genealogies to Find Trait-Influencing Variants Presentation Payman Nickchi, Simon Fraser University; Jinko Graham, Simon Fraser University
2:15 PM	A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor Presentation An-Shun Tai, National Tsing Hua University
2:20 PM	A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
2:25 PM	A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios Presentation Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
2:30 PM	Empirical Bayes Analysis of Overdispersed High-Dimensional Protein Interaction Data Presentation Anna Reisetter
2:35 PM	An Efficient Resampling Method for Order-Restricted Gene-Trait Association Analysis Presentation Yeonil Kim, University of Florida; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
2:40 PM	MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis Presentation Ye Zheng, University of Wisconsin Madison; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
2:45 PM	A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship Presentation Hsiao-Chi Liao, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine
2:50 PM	A Nearly Optimal Sequential Testing Approach to Permutation-Based Association Testing Presentation Julian Hecker, Harvard T.H. Chan School of Public Health; Ingo Ruczinski, Bloomberg School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health; Christoph Lange, Harvard T.H. Chan School of Public Health
3:00 PM	P-Value Estimation for the Risk Score of a Prediction Model Presentation Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
3:05 PM	Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes Presentation Yun Zhang, University of Rochester; Xing Qiu, University of Rochester
3:10 PM	Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data Presentation Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
3:15 PM	An Integrative Bayesian Approach to Dissect Complex Trait Etiology Presentation Corbin Quick, University of Michigan
3:25 PM	Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology Presentation Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
3:30 PM	Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development Presentation Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
3:35 PM	Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis Presentation Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
3:40 PM	Benford's Law Based Outliers Detection for Population Stratification in Genotype Data Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
3:45 PM	A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates Presentation Yidan Sun

40	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 223
Recent Advances in Statistical Methods for Genome-Wide Association Studies — Contributed Papers
Section on Statistics in Genomics and Genetics, SSC
Chair(s): Josh Barback, Harvard T. H. Chan School of Public Health
2:05 PM	Brawn and Brains: a Robust and Powerful Approach to X-Inclusive Whole-Genome Association Studies Bo Chen, University of Toronto; Lei Sun, University of Toronto; Radu V Craiu, University of Toronto
2:20 PM	Literature-Guided Integration of Multiple GWAS Results Using Graph-GPA and DDNet Presentation Dongjun Chung, Medical University of South Carolina; Hang J. Kim, University of Cincinnati; Zhenning Yu, Medical University of South Carolina; Andrew B Lawson, Medical University of South Carolina ; Hongyu Zhao, Yale
2:35 PM	Cauchy Combination Test: a Powerful Test with Analytic P-Value Calculation Under Arbitrary Dependency Structures Presentation Yaowu Liu, Harvard School of Public Health; Jun Xie, Purdue University; Xihong Lin, Harvard University
2:50 PM	Leveraging Surrogate Phenotypes to Improve Inference on a Partially Missing Target Phenotype Presentation Zachary McCaw, Harvard School of Public Health; Xihong Lin, Harvard University
3:05 PM	A Genetic Association Test Robust to Arbitrary Population Structure Presentation Minsun Song, Sookmyung Women's University
3:20 PM	A Model-Based Clustering to Identify Disease-Associated SNPs Yan Xu, University of Victoria; Xuekui Zhang, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
3:35 PM	Floor Discussion

45 * !	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 224
Statistical Models for Estimating and Testing Causal Effects in Biomedical Studies — Invited Papers
Section on Statistics in Epidemiology, Section on Statistics in Genomics and Genetics, Caucus for Women in Statistics
Organizer(s): Shili Lin, The Ohio State University
Chair(s): Shili Lin, The Ohio State University
4:05 PM	Tilted Covariate and Mediator Balancing Presentation Kwun Chuen Gary Chan, University of Washington
4:30 PM	Hypothesis Tests of Mediation Under a Composite Null Hypothesis Yen-Tsung Huang, Academia Sinica
4:55 PM	Understanding Associations Among Multi-Omic Data via Integrative Modeling Presentation Asuman Seda Turkmen, The Ohio State University; Hancong Tang, The Ohio State University; Shili Lin, The Ohio State University
5:20 PM	Causal Organic Direct and Indirect Effects: Closer to Baron and Kenny Presentation Judith Lok, Harvard T.H. Chan School of Public Health
5:45 PM	Floor Discussion

48 *	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 109
Longitudinal Modeling and Experimental Design for Investigating Host Associated Microbiota — Invited Papers
IMS, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Justin D Silverman, Duke University
Chair(s): Sayan Mukherjee, Duke University
4:05 PM	Nonparametric Analyses of Longitudinal Perturbation Data from the Human Microbiome Presentation Susan Holmes, Statistics
4:25 PM	A Microbial Interdependence Association Test in Longitudinal Study Presentation Huilin Li, New York University; Yilong Zhang, Merck Research Laboratories; Sung Won Han, Korea University; Laura Cox, Brigham and Women's Hospital and Harvard Medical School
4:45 PM	Predictive and Interpretable Bayesian Machine Learning Models for Understanding Microbiome Dynamics Presentation Georg Kurt Gerber, Harvard Medical School / Brigham and Women's Hospital
5:05 PM	Quantifying and Controlling for Sources of Technical Variation and Bias in Longitudinal Microbiome Surveys Justin D Silverman, Duke University; Heather Durand, Duke University; Sayan Mukherjee, Duke University; Lawrence A David, Duke University
5:25 PM	Incorporating Host Genomics Data and Microbial Network Inference Presentation Richard Bonneau, NYU Center for Data Science & Simons Foundation
5:45 PM	Floor Discussion

63 *	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 215/216
Omics Data: Study Design, Power and Sample Size — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, SSC
Organizer(s): Kwang-Youn Kim, Northwestern University
Chair(s): Jungwha "Julia" Lee, Northwestern University
4:05 PM	Power Analysis for RNA-Seq in Single Cells Presentation Zhijin Wu, Brown University; Hao Wu, Emory University
4:25 PM	Multivariate FDR Control for Omics Data Integration Presentation Ali Shojaie, University of Washington; Kasra Alishahi, Sharif University of Technology; Ahmad Reza Ehyaee, Sharif University of Technology
4:45 PM	Sample Size and Power Analysis for RNA-Seq Differential Expression in Paired Study Designs Presentation Masha Kocherginsky, Northwestern University; Kwang-Youn Kim, Northwestern University ; Daniela E Matei, Northwestern University
5:05 PM	Power Calculation and Shrinkage in High-Throughput Screening Studies Presentation Noah Simon, University of Washington
5:25 PM	Floor Discussion

81	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 217
New Development in Epigenome-Wide Association Studies — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Abhijoy Saha, The Ohio State University
4:05 PM	Data Adaptive Evaluation of Preprocessing Methods Using Ensemble Machine Learning Rachael Phillips, Biostatistics, UC Berkeley
4:20 PM	De Novo Detection and Accurate Inference of Differentially Methylated Regions Keegan Korthauer, Dana-Farber Cancer Institute; Sutirtha Chakraborty, Novartis; Yuval Benjamini, Hebrew University of Jerusalem; Rafael Irizarry, Harvard University
4:35 PM	A Bayesian Hierarchical Model for Analyzing Methylated RNA Immunoprecipitation Sequencing Data Presentation Minzhe Zhang, University of Texas Southwestern Medical Center; Qiwei Li, University of Texas Southwestern Medical Center; Yang Xie, University of Texas Southwestern Medical Center
4:50 PM	Detection of Cell-Type-Specific Risk-CpG Sites in Epigenome-Wide Association Studies Presentation Xiangyu Luo, The Chinese University of Hong Kong; Can Yang, The Hong Kong University of Science and Technology; Yingying Wei, The Chinese University of Hong Kong
5:20 PM	A Feature Selection Method for Vertical Integrative Analysis of Multi-Assay Genomic Data Presentation Dror Berel, Fred Hutch; Raphael Gottardo, Fred Hutchinson Cancer Research Center
5:35 PM	Floor Discussion

85	Sun, 7/29/2018, 5:05 PM - 5:50 PM	CC-West Hall B
SPEED: An Ensemble of Advances in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics, ENAR, SSC, Section on Risk Analysis, Section on Statistical Computing, Biometrics Section
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1:	Discrete Principal Component Analysis for Population Stratification Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:	On Using Gene Genealogies to Find Trait-Influencing Variants Payman Nickchi, Simon Fraser University; Jinko Graham, Simon Fraser University
3:	A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor An-Shun Tai, National Tsing Hua University
4:	A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
5:	A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
6:	Empirical Bayes Analysis of Overdispersed High-Dimensional Protein Interaction Data Anna Reisetter
7:	An Efficient Resampling Method for Order-Restricted Gene-Trait Association Analysis Yeonil Kim, University of Florida; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
8:	MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis Ye Zheng, University of Wisconsin Madison; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
9:	A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship Hsiao-Chi Liao, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine
10:	A Nearly Optimal Sequential Testing Approach to Permutation-Based Association Testing Julian Hecker, Harvard T.H. Chan School of Public Health; Ingo Ruczinski, Bloomberg School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health; Christoph Lange, Harvard T.H. Chan School of Public Health
11:	P-Value Estimation for the Risk Score of a Prediction Model Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
12:	Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes Yun Zhang, University of Rochester; Xing Qiu, University of Rochester
13:	Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
14:	An Integrative Bayesian Approach to Dissect Complex Trait Etiology Corbin Quick, University of Michigan
16:	Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
17:	Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
18:	Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
19:	Benford's Law Based Outliers Detection for Population Stratification in Genotype Data Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
20:	A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates Yidan Sun
Oral Presentations for this session.

99 * !	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 211
Single Cell Sequencing and Cancer Genomics — Invited Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, ENAR, SSC
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Wei Sun, Fred Hutchinson Cancer Research Center
8:35 AM	3?-UTR Shortening Represses Tumor Suppressor Genes in Trans by Disrupting CeRNA Crosstalk Wei Li, Baylor College of Medicine
9:00 AM	Pathway and Network-Based Integrative Bayesian Modeling of Multiplatform Genomics Data Presentation Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Elizabeth McGuffey, United States Naval Academy; Raymond J. Carroll, Texas A & M University; Min Jin Ha, UT MD Anderson Cancer Center
9:25 AM	Changing Mixtures Does Not Always Change Margins: An Application to Single-Cell RNA-Seq Michael Newton, University of Wisconsin at Madison; XIuyu Ma, University of Wisconsin at Madison; Christina Kendziorski, University of Wisconsin - Madison
9:50 AM	Unsupervised embedding of single-cell Hi-C data William S. Noble, University of Washington
10:15 AM	Floor Discussion

133	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 205
Gene-Set Based Analysis in Genomic Studies — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Cristian Oliva, Colorado State University
8:35 AM	Integration of Multiple 'Omic Data Types for Screening Disease-Related Gene Sets with Applications in Lung Cancer Presentation Su Hee Chu, Brigham and Women's Hospital and Harvard Medical School; Yen-Tsung Huang, Academia Sinica
8:50 AM	Evaluating Statistical Classifiers for Detecting C9orf72 Amyotrophic Lateral Sclerosis Patients Based on Whole Blood RNAseq Data Presentation Wenting Wang, Biogen; Guolin Zhao, Biogen; Feng Gao, Biogen; Tzu-Ying Liu, University of Michigan; Ayla Ergun, Biogen; Jessica Hurt, Biogen
9:05 AM	Building a Genomic Signature via Transfer Learning on Both Labelled and Unlabelled High-Dimensional Data: a Case Study in Predicting Prostate Cancer Metastasis Yang Liu, GenomeDx Biosciences; Hossein Sharifi-Noghabi, Simon Fraser University; Nicholas Erho, GenomeDX Biosciences; Raunak Shrestha, Vancouver Prostate Centre; Mohammed Alshalalfa, GenomeDX Biosciences; Elai Davicioni, GenomeDX Biosciences; Colin Collins, Vancouver Prostate Centre; Martin Ester, Simon Fraser University
9:20 AM	Biclustering Algorithm for Biomedical Literature Mining Guided by Prior Information Presentation Jin Hyun Nam; Zhenning Yu, Medical University of South Carolina; Daniel Couch, Medical University of South Carolina; Andrew B Lawson, Medical University of South Carolina ; Dongjun Chung, Medical University of South Carolina
9:35 AM	Outer Node FDR Control for Gene Ontology and Other Directed Acyclic Graphs Presentation Eugene Katsevich, Stanford University; Chiara Sabatti, Stanford University; Marina Bogomolov, Technion
9:50 AM	Robust Inference Based on Linear Mixed Models with Application to Gene Detections Youngseok Song, Colorado State University; Wen Zhou, Colorado State University; Kim Hoke, Colorado State University; Wenxin Zhou, University of California, San Diego
10:05 AM	Resampling-Based Control of the False Discovery Rate Incorporating Shrinkage Estimation for the Covariance Matrix Josephine Sarpong Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University

134	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 204
Recent Development in Methods for Statistical Genetics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Nathan Sandholtz, Simon Fraser University
8:35 AM	Pleiotropic Effects of Genetic Variants on Aging Traits and Lifespan: Applications of Stochastic Process Models Presentation Konstantin Arbeev, Duke University; Olivia Bagley, Duke University; Fang Fang , Duke University; Hongzhe Duan, Duke University; Ilya Zhbannikov, Duke University; Igor Akushevich, Duke University; Alexander Kulminski, Duke University; Svetlana Ukraintseva, Duke University; Anatoliy Yashin, Duke University
8:50 AM	Sampling Partial Genealogies Using Sequential Importance Sampling Presentation Dongmeng Liu; Jinko Graham, Simon Fraser University
9:05 AM	Large Scale Application of Mendelian Randomization for Systematic Causal Inferences Using GWAS Summary Statistics for Drug Discovery and Development Xing Chen, Pfizer Inc WRD
9:20 AM	Comparison of Hardy-Weinberg Equilibrium Methods for Survey Data Presentation John Pleis, National Center for Health Statistics; Donald Malec, National Center for Health Statistics; Rong Wei, National Center for Health Statistics; Vladislav Beresovsky, National Center for Health Statistics; Bill Cai, CDC/NCHS; Te-Ching Chen, CDC/NCHS; Yulei He, CDC/NCHS; Peter Meyer, National Center for Health Statistics; Lyna Schieber, Centers for Disease Control and Prevention; Hee-Choon Shin, CDC/NCHS; Ajay Yesupriya, State University of New York at Albany; Guangyu Zhang, National Center for Health Statistics
9:35 AM	A Multi-Dimensional Integrative Scoring Framework for Predicting Functional Regions in the Human Genome Presentation Xihao Li, Harvard T.H. Chan School of Public Health; Godwin Yung, Takeda Pharmaceutical; Hufeng Zhou, Harvard T.H. Chan School of Public Health; Iuliana Ionita-Laza, Columbia University; Xihong Lin, Harvard University
9:50 AM	Two-Way Sparsity for Time-Varying Networks, with Applications in Genomics Thomas Bartlett, University College London; Ricardo Silva, University College London; Ioannis Kosmidis, University of Warwick
10:05 AM	Empirical Bayes Estimation of Gene Expression Fold Change Presentation Abbas Rahal, University of Ottawa; Marta Padila, University of Ottawa; David R. Bickel, University of Ottawa

142 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 217
Metabolomics Data Analytics - the New Frontier in Precision Medicine — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, ENAR, SSC
Organizer(s): Katerina Kechris, Colorado School of Public Health; Jean Yee Hwa Yang, University of Sydney, Australia
Chair(s): Jean Yee Hwa Yang, University of Sydney, Australia
10:35 AM	Hierarchical Processing for LC/MS Metabolomics Data Generated in Multiple Batches Douglas Walker, Emory University; Karan Uppal, Emory University; Dean Jones, Emory University; Tianwei Yu, Emory University
11:25 AM	Bayesian Network Models for Integrating Genetics and Metabolomics Data Presentation Denise Marie Scholtens, Northwestern University; Alan Kuang, Northwestern University
11:50 AM	Discussant: Susmita Datta, University of Florida
12:15 PM	Floor Discussion

178	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 221
Statistical Methods for Analysis of Heterogeneous Tissue Samples in Bulk and Single-Cell Sequencing Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Huijing Jiang, IBM Research
10:35 AM	A Bayesian Approach to Analyzing Differential Gene Expression in Heterogeneous Tissue Samples Presentation Megan Stefanski, University of Missouri - Kansas City; David Spade, University of Missouri - Kansas City
10:50 AM	Single-Cell RNA Sequencing: Dropout Imputation and Normalization with Spike-In Genes Nicholas Lytal, University of Arizona; Di Ran, University of Arizona; Lingling An, University of Arizona
11:20 AM	Single-Cell Gene Set Analysis with Applications in Tumor Heterogeneity Presentation Lingling An, University of Arizona; Di Ran, University of Arizona; Nicholas Lytal, University of Arizona
11:35 AM	Identifying Biomarkers in Heterogeneous Samples Without Known Reference Cell Type Profiles Presentation Kelly Mosesso, Harvard University ; Martin Aryee, Harvard University
11:50 AM	Estimating Tumor Fraction in Circulating Cell-Free DNA Using Shallow Whole Genome Sequencing Presentation Venkatraman Seshan, MSKCC; Nicholas Socci, MSKCC; Dana Tsui, MSKCC; Julie Yang, MSKCC
12:05 PM	Floor Discussion

CE_21C	Mon, 7/30/2018, 1:00 PM - 5:00 PM	CC-East 13
Statistical Methods for Single-Cell RNA-Seq Analysis (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Statistics in Genomics and Genetics
Instructor(s): Rhonda Bacher, University of Wisconsin - Madison; Christina Kendziorski, University of Wisconsin - Madison; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
Single-cell RNA-sequencing (scRNA-seq) has emerged as a revolutionary tool that allows us to address scientific questions that were elusive just a few years ago. With the advantages of scRNA-seq come statistical challenges that are just beginning to be addressed. In this course, we will review the computational and statistical methods available for the design and analysis of scRNA-seq experiments including methods for quality control, normalization, accounting for technical noise, gene expression estimation and recovery, allele specific expression estimation, sub-population identification, pseudotemporal ordering and inference, and identification of differential distributions. Advantages and disadvantages of approaches in various settings will be discussed. Software demos will be also provided so that students will leave the course with the tools necessary to perform common analyses of single-cell RNA-seq data.
1:00 PM	Statistical Methods for Single-Cell RNA-Seq Analysis (ADDED FEE) Christina Kendziorski, University of Wisconsin - Madison; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania; Rhonda Bacher, University of Wisconsin - Madison

218 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 213
Statistical Advances in the Design and Analysis of Sequence-Based Genetic Association Studies — Invited Papers
Section on Statistics in Genomics and Genetics, International Indian Statistical Association, Section on Statistics in Epidemiology, SSC
Organizer(s): Debashree Ray, Johns Hopkins University
Chair(s): Haoyu Zhang, Johns Hopkins University
2:05 PM	Statistical Issues in the Design and Analysis of Sequencing Studies Presentation Danyu Lin, University of North Carolina
2:30 PM	Analysis of Quantitative Traits in Sequencing Studies with Outcome-Dependent Sampling SAONLI BASU, University of Minnesota
2:55 PM	Post-Selection Estimation and Testing Following Aggregated Association Tests Presentation Ruth Heller, Tel-Aviv University; Amit Meir, University of Washington; Nilanjan Chatterjee, Johns Hopkins University
3:20 PM	On the Design of Sequence-Based Case-Control Studies with External Controls Debashree Ray, Johns Hopkins University; Pranav Yajnik, University of Michigan; Michael Lee Boehnke, University of Michigan
3:45 PM	Floor Discussion

246	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 120
New Mothods for Biomedical and Genetics Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Yunda Huang, Fred Hutchinson Cancer Research Center
2:05 PM	Distinguishing Close Linkage from Pleiotropy in Multiparental Populations Frederick Boehm, University of Wisconsin - Madison; Mark Keller, University of Wisconsin-Madison; Alan Attie, University of Wisconsin-Madison; Brian Yandell, University of Wisconsin-Madison; Karl Broman, University of Wisconsin-Madison
2:20 PM	Critical Steps for Composite Endpoint Analysis Presentation Jerry J. Li, Merck & Co., Inc.
2:35 PM	Mechanistic Model Based Simulation for Dosing Regimen Optimization Presentation Siyan Xu, Novartis Institutes for Biomedical Research, Inc; Yu-Yun Ho, Novartis Pharmaceuticals Corporation; Wenping Wang, Novartis Pharmaceuticals Corporation
2:50 PM	A Novel Association Testing Model Between Rare Variants and Multiple Discrete and Continuous Traits Presentation Han Hao, University of North Texas; Xuexia Wang, University of North Texas
3:05 PM	'sTATISTICAL JUSTIFICATION' of SUBJECT NUMBERS in PRECLINICAL BIOMEDICAL RESEARCH: MORE THAN HYPOTHESIS TESTING Penny Reynolds
3:20 PM	Combining Subsets of P-Values Nick Heard, Imperial Coll. of Sci. & Tech.
3:35 PM	Linear Regression Models with Ordered Categorical Covariates Presentation Julia (Kelsall) Crook, Mayo Clinic

216609	Mon, 7/30/2018, 5:30 PM - 7:00 PM	F-Mackenzie II
Section on Statistics in Genomics and Genetics Business Meeting — Other Cmte/Business
Section on Statistics in Genomics and Genetics
Chair(s): Debashis Ghosh, University of Colorado Anschutz Medical Campus

276 *	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 222
Addressing Emerging Statistical Challenges in Microbiome Studies — Invited Papers
WNAR, ENAR, Section on Statistics in Genomics and Genetics
Organizer(s): Michael C. Wu, Fred Hutchinson Cancer Research Center
Chair(s): Michael C. Wu, Fred Hutchinson Cancer Research Center
8:35 AM	A Framework for Multivariate Causal Mediation Analysis with Microbiome Data Alexander V Alekseyenko, Medical University of South Carolina
9:05 AM	Analyzing Matched Sets of Microbiome Data Using the Linear Decomposition Model Presentation Glen Alan Satten, Centers for Disease Control and Prevention; Yijuan Hu, Emory University; Zhengyi Zhu, Emory University
9:35 AM	Trend Tests for Microbiome Data Abhishek Kaul, WSU; Shyamal Peddada, Univeristy of Pittsburgh; Siddhartha Mandal, Public Health Foundation of India; Ori Davidov , Haifa Univeristy
10:05 AM	Floor Discussion

288 *	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 109
Genomical Is the New Astronomical: Big Data Algorithms and Applications in Genomics — Topic Contributed Papers
Section on Statistical Computing, Section on Statistics in Genomics and Genetics
Organizer(s): Min Zhang, Purdue University
Chair(s): Wendy Wong, Inova Translational Medicine Institute
8:35 AM	Cloud Computing Approaches to Genomic Data Science Sean Davis, National Cancer Institute
8:55 AM	Improving the Value of Public Data with Recount2 and Phenotype Prediction Presentation Shannon Ellis, Johns Hopkins University, Bloomberg School of Public Health
9:15 AM	Analyzing Large Scale Genomics Data with Apache Spark and ADAM Presentation Frank Nothaft, Databricks
9:35 AM	Inferring Gene Regulatory Networks from a Population of Yeast Segregants Presentation Dabao Zhang, Purdue University
9:55 AM	Big Data Distributed System for Phenome and Genome Management and Analysis in a Large Health System Wendy Wong, Inova Translational Medicine Institute; Xinyue Liu, Inova Translational Medicine Institute; Prachi Kothiyal, Inova Translational Medicine Institute; Wei Zhu, Inova Translational Medicine Institute; Fang Zhou, Inova Translational Medicine Institute; Shan Gao, Inova Translational Medicine Insitute; Sakthi Madhappan, Inova Translational Medicine Institute; Lin Smith, Inova Translational Medicine Institute; Henry Hunter, Inova Translational Medicine Institute; Aaron Black, Inova Translational Medicine Institute; John F Deeken, Inova Translational Medicine Institute; John E Niederhuber, Inova Translational Medicine Institute
10:15 AM	Floor Discussion

299	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 212
SPEED: Recent Advances in Statistical Genomics and Genetics — Contributed Speed
Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Jia Hua, State University of New York At Buffalo
Poster Presentations for this session.
8:35 AM	Subset Testing and Analysis of Multiple Phenotypes Andriy Derkach, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute
8:40 AM	ProxECAT: Proxy External Controls Association Test. a New Case-Control Gene Region Association Test Using Allele Frequencies from Public Controls Audrey Hendricks, University of Colorado - Denver; Stephen Billups, University of Colorado - Denver; Hamish Pike, University of Colorado-Aschutz Medical Campus; Eleftheria Zeggini, Wellcome Trust Sanger Institute; Stephanie Santorico, University of Colorado - Denver; Inês Barroso, Wellcome Trust Sanger Institute; Josee Dupuis, Boston University School of Public Health
8:45 AM	NanoStringDiffWeb: a Web-Based Tool for Differential Expression Analysis of NanoString NCounter Data Tingting Zhai, University of Kentucky; Hong Wang, Eli Lilly and Company; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky; Jinpeng Liu, Markey Cancer Center, University of Kentucky; Isaac Hands, Markey Cancer Center, University of Kentucky; Eric B. Durbin, Markey Cancer Center, University of Kentucky; Heidi Weiss, Markey Cancer Center, University of Kentucky
8:50 AM	Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model Presentation Tao Wang, UT Southwestern Medical Center
8:55 AM	Visualization Methods for RNA-Sequencing Data Analysis Presentation Lindsay Rutter, Iowa State University; Dianne Cook, Monash University
9:00 AM	A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior Presentation Yi Yang, University of Minnesota; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota
9:05 AM	Differences in Gene Silencing Effect of MiRNA and Methylation in Two Histologic Subtypes Prabhakar Chalise, University of Kansas Medical Center
9:10 AM	SAVER: Gene Expression Recovery for UMI-Based Single Cell RNA Sequencing Presentation Mo Huang, University of Pennsylvania; Jingshu Wang, University of Pennsylvania; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
9:15 AM	Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer Presentation Xiaoli Zhang, Ohio State University; Kalpana Ghoshal, The Ohio State University
9:20 AM	An Ensemble RNA-Seq Differential Analysis Method for False Discovery Rate Control Presentation Dongmei Li, University of Rochester; Ananta Paine, University of Rochester; Timothy D. Dye, University of Rochester
9:30 AM	A Two-Stage Microbial Association Mapping Framework with Advanced FDR Control Presentation Jiyuan Hu, New York University School of Medicine; Huilin Li, New York University; Hyunwook Koh, NYU langone medical center; Linchen He, NYU langone medical center; Martin Blaser, New York University School of Medicine
9:35 AM	Penalized Latent Dirichlet Allocation Model in Single Cell RNA Sequencing Presentation Xiaotian Wu, Brown University; Zhijin Wu, Brown University; Hao Wu, Emory University
9:50 AM	Four-Step Cross-Validation Procedure in Biomarker Prognostic Cox Model Development Jianying Zhang, Ohio State University; Lianbo Yu, Ohio State University; Charles L Shapiro, Mount Sinai Medical Center
9:55 AM	Microbial Network Estimation Using Compositional Graphical Lasso Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
10:00 AM	Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data Presentation Zhengyan Huang; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
10:10 AM	Using Area Under PSD to Detect the Tumor Heterogeneity Difference with Single Cell Data Yian Chen, Moffitt Cancer Center & Research Institute; Jiannong Li, Moffitt Cancer Center & Research Institute; Inna Smalley, Moffitt Cancer Center & Research Institute; Michael J Schell, Moffitt Cancer Center & Research Institute; Keiran S Smalley, Moffitt Cancer Center & Research Institute
10:15 AM	Identifying Direct Targets with Knockdown Experiment: An Adaptive Approach Detecting Strong Signals Leying Guan, Stanford University

312	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 218
Recent Methods Development for Sequence-Based Association Studies — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Dror Berel, Fred Hutch
8:35 AM	Analysis in Case-Control Sequencing Association Studies with Different Sequencing Depths Sixing Chen, Harvard University; Xihong Lin, Harvard University
8:50 AM	Testing Nonlinear Gene-Environment Interaction Through Varying Coefficient and Linear Mixed Models Presentation Zhengyang Zhou, Southern Methodist University; Chao Xing, University of Texas Southwestern Medical Center; Hung-Chih Ku, DePaul University
9:05 AM	Identifying Individual Risk Rare Variants Using Structure-Guided Local Tests Presentation Rachel Marceau, North Carolina State University; Wenbin Lu, North Carolina State University; Daniel Rotroff, North Carolina State University; Michael Wagner, UNC Chapel Hill; John Buse, UNC Chapel Hill; Jung-Ying Tzeng, North Carolina State University; Melaine Kuenemann, North Carolina State University; Denis Fourches, North Carolina State University; Alison Motsinger-Reif, North Carolina State University
9:20 AM	Robust Score Tests with Missing Data in Genomics Studies Presentation Kin Yau Wong, Hong Kong Polytechnic University; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
9:35 AM	Using Gene Genealogies to Localize Rare Variants Associated with Complex Traits in Diploid Populations Presentation Charith Bhagya Karunarathna, Simon Fraser University; Jinko Graham, Simon Fraser University
9:50 AM	Integrating External Controls Improves Power for Genetic Association Testing Presentation Yatong Li, University of Michigan; Seunggeun Lee, University of Michigan
10:05 AM	Methods and Study Design for Integrating External Controls with Allele Frequencies Presentation Megan Sorenson, University of Colorado Denver; Audrey Hendricks, University of Colorado - Denver

318 * !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 211
Advances on the Analysis of Single-Cell Sequencing Data — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, SSC
Organizer(s): Lingling An, University of Arizona
Chair(s): Lingling An, University of Arizona
10:35 AM	Statistical Methods for Single-Cell RNA-Seq in Studies of Mammalian Development Christina Kendziorski, University of Wisconsin - Madison; Zijian Wang, University of Wisconsin - Madison; Ron Stewart, Morgridge Institute for Research; Chris Barry, Morgridge Institute for Research; Li-Fang Chu, Morgridge Institute for Research
11:00 AM	General and Flexible Methods for Signal Extraction from Single-Cell RNA-Seq Data Presentation Davide Risso, Weill Cornell Medicine
11:25 AM	Multi-Sample Differential Expression Analysis of RNA-Seq Single-Cell Data George Tseng, University of Pittsburgh; Li Zhu, University of Pittsburgh; An-Shun Tai, National Tsing Hua University; Wei Chen, University of Pittsburgh
11:50 AM	Modeling Allele-Specific Gene Expression by Single-Cell RNA Sequencing Presentation Yuchao Jiang, University of North Carolina, Chapel Hill; Nancy Zhang, University of Pennsylvania; Mingyao Li, University of Pennsylvania
12:15 PM	Floor Discussion

355	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 218
Analysis of Complex Genetic Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Lingyun Ji, University of Southern California
10:35 AM	Statistical Approaches for Meta-Analysis of Genetic Mutation Prevalence Presentation Margaux Hujoel, Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Danielle Braun, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
10:50 AM	On 'Reverse' Regression for Testing Association and Allele Frequency Estimation in Complex Pedigree Presentation Lin Zhang, University of Toronto; Lei Sun, University of Toronto
11:05 AM	SMMAT: a Powerful and Efficient Variant Set Mixed Model Association Test for Binary and Quantitative Traits in Whole Genome Sequencing Studies with Correlated Samples Presentation Han Chen, The University of Texas Health Science Center at Houston
11:20 AM	Efficient Statistical Methods for Genome-Wide Association Studies with Disease Family History Data Presentation Annie Lee, Columbia University; Baosheng Liang, Beijing Normal University, Beijing, P. R. China.; Donglin Zeng, UNC Chapel Hill; Karen Marder, Columbia University; Yuanjia Wang, Columbia University
11:35 AM	Missing Genotypes in TDT Presentation Gulhan Bourget, California State University, Fullerton
11:50 AM	A Family-Informed Phenotype Imputation Approach for Genetic Analyzes Presentation Yuning Chen, Boston University; Gina Marie Peloso, Boston University; Ching-Ti Liu, Boston University; Anita L. DeStefano, Boston University; James B. Meigs, Massachusetts General Hospital, Harvard Medical School; Josee Dupuis, Boston University School of Public Health
12:05 PM	Genome-Wide Likelihood Ratio Tests Under Heterogeneity with an R Package GLRTH Presentation Xiaoxia Han, Henry Ford Health System; Yongzhao Shao, New York University

356	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 217
Innovative Analysis Methods for Various Types of High-Throughput and Heterogeneous Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Yilin Zhang, University of Wisconsin-Madison
10:35 AM	Iterated Curve Registration Extracts Signals from Noisy DNA Molecule Measurements Presentation Subhrangshu Nandi, University of Wisconsin - Madison; Michael Newton, University of Wisconsin at Madison; David C Schwartz, University of Wisconsin - Madison
10:50 AM	Analysis of Time-Course Microbiota Data Through Longitudinal Linear Combination Test Presentation Elham Khodayari Moez, University of Alberta; Morteza Hajihosseini, University of Alberta; Anita Kozyrskyj, University of Alberta; Irina Dinu, University of Alberta
11:05 AM	Comparative Evaluation of Statistical Methods in Infant Gut Microbiome Studies Presentation Morteza Hajihosseini, University of Alberta; Elham Khodayari Moez, University of Alberta; Anita Kozyrskyj, University of Alberta; Irina Dinu, University of Alberta
11:20 AM	Distance-Based Analysis with Quantile Regression Models Shaoyu Li, University of North Carolina Charlotte; Yanqing Sun, University of North Carolina At Charlotte
11:35 AM	Discovering Chromatin Interactions from Hi-C Data with Replicates Using Integrated Mixture Models Frank Shen, Penn State University
11:50 AM	Improved Accuracy Assessment for 3D Genome Reconstructions Mark Segal, UCSF
12:05 PM	Floor Discussion

366	Tue, 7/31/2018, 10:30 AM - 11:15 AM	CC-West Hall B
SPEED: Recent Advances in Statistical Genomics and Genetics — Contributed Poster Presentations
Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21:	Subset Testing and Analysis of Multiple Phenotypes Andriy Derkach, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute
22:	ProxECAT: Proxy External Controls Association Test. a New Case-Control Gene Region Association Test Using Allele Frequencies from Public Controls Audrey Hendricks, University of Colorado - Denver; Stephen Billups, University of Colorado - Denver; Hamish Pike, University of Colorado-Aschutz Medical Campus; Eleftheria Zeggini, Wellcome Trust Sanger Institute; Stephanie Santorico, University of Colorado - Denver; Inês Barroso, Wellcome Trust Sanger Institute; Josee Dupuis, Boston University School of Public Health
23:	NanoStringDiffWeb: a Web-Based Tool for Differential Expression Analysis of NanoString NCounter Data Tingting Zhai, University of Kentucky; Hong Wang, Eli Lilly and Company; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky; Jinpeng Liu, Markey Cancer Center, University of Kentucky; Isaac Hands, Markey Cancer Center, University of Kentucky; Eric B. Durbin, Markey Cancer Center, University of Kentucky; Heidi Weiss, Markey Cancer Center, University of Kentucky
24:	Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model Tao Wang, UT Southwestern Medical Center
25:	Visualization Methods for RNA-Sequencing Data Analysis Lindsay Rutter, Iowa State University; Dianne Cook, Monash University
26:	A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior Yi Yang, University of Minnesota; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota
27:	Differences in Gene Silencing Effect of MiRNA and Methylation in Two Histologic Subtypes Prabhakar Chalise, University of Kansas Medical Center
28:	SAVER: Gene Expression Recovery for UMI-Based Single Cell RNA Sequencing Mo Huang, University of Pennsylvania; Jingshu Wang, University of Pennsylvania; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
29:	Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer Xiaoli Zhang, Ohio State University; Kalpana Ghoshal, The Ohio State University
30:	An Ensemble RNA-Seq Differential Analysis Method for False Discovery Rate Control Dongmei Li, University of Rochester; Ananta Paine, University of Rochester; Timothy D. Dye, University of Rochester
31:	A Two-Stage Microbial Association Mapping Framework with Advanced FDR Control Jiyuan Hu, New York University School of Medicine; Huilin Li, New York University; Hyunwook Koh, NYU langone medical center; Linchen He, NYU langone medical center; Martin Blaser, New York University School of Medicine
32:	Penalized Latent Dirichlet Allocation Model in Single Cell RNA Sequencing Xiaotian Wu, Brown University; Zhijin Wu, Brown University; Hao Wu, Emory University
35:	Four-Step Cross-Validation Procedure in Biomarker Prognostic Cox Model Development Jianying Zhang, Ohio State University; Lianbo Yu, Ohio State University; Charles L Shapiro, Mount Sinai Medical Center
36:	Microbial Network Estimation Using Compositional Graphical Lasso Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
37:	Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data Zhengyan Huang; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
39:	Using Area Under PSD to Detect the Tumor Heterogeneity Difference with Single Cell Data Yian Chen, Moffitt Cancer Center & Research Institute; Jiannong Li, Moffitt Cancer Center & Research Institute; Inna Smalley, Moffitt Cancer Center & Research Institute; Michael J Schell, Moffitt Cancer Center & Research Institute; Keiran S Smalley, Moffitt Cancer Center & Research Institute
40:	Identifying Direct Targets with Knockdown Experiment: An Adaptive Approach Detecting Strong Signals Leying Guan, Stanford University
Oral Presentations for this session.

388 *	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 122
Statistical and Computational Advances in Cancer Genomics with Application to Precision Medicine — Invited Papers
Section on Statistics in Genomics and Genetics, SSC
Organizer(s): Ronglai Shen, Memorial Sloan-Kettering Cancer Center
Chair(s): Ronglai Shen, Memorial Sloan-Kettering Cancer Center
2:05 PM	Distinguishing Second Primary Cancers from Metastases: Statistical Challenges in Testing Clonal Relatedness of Tumors Presentation Colin B Begg, Memorial Sloan Kettering Cancer Center
2:30 PM	Tumor Heterogeneity in Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Presentation Ruibin Xi, Peking University
2:55 PM	Unsupervised Learning for Deciphering Mutational Signatures in Human Cancer Presentation Ludmil B Alexandrov, University of California, San Diego; Velimir V Vesselinov, Los Alamos National Lab; Boian S Alexandrov, Los Alamos National Lab
3:20 PM	Predicting Cancer Outcomes from Genomics Data Peter Campbell, Wellcome Trust Sanger Institute
3:45 PM	Floor Discussion

397 * !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-East 19
Statistical Learning for Epigenomics Data — Topic Contributed Papers
SSC, Section on Statistics in Genomics and Genetics, Section on Statistical Learning and Data Science
Organizer(s): Michael M. Hoffman, Princess Margaret Cancer Centre/University of Toronto
Chair(s): Pingzhao Hu, University of Manitoba
2:05 PM	Inference of Transcription Factor Binding Sites in New Cell Types from Open Chromatin and Gene Expression Data Michael M. Hoffman, Princess Margaret Cancer Centre/University of Toronto; Mehran Karimzadeh, University of Toronto
2:25 PM	Detecting Developmental Expression Switches from Transcriptomic and Epigenomic Data Presentation Claudia Kleinman, McGill University; Marie Forest, Lady Davis Research Institute, McGill University; Selin Jessa, McGill University; Celia M.T. Greenwood, Lady Davis Research Institute, McGill University
2:45 PM	Inferring the Impact of Genetic Variation on Regulatory Networks Sara Mostafavi
3:05 PM	Understanding Gene Regulation Through Graph-Based Posterior Regularization in Structured Probabilistic Models Presentation Maxwell Libbrecht, Simon Fraser University
3:25 PM	A Smoothed EM-Algorithm for Modeling DNA Methylation Profiles from Bisulfite Sequencing Data Presentation Karim Oualkacha, Universite Du Quebec a Montreal; Celia M.T. Greenwood, Lady Davis Research Institute, McGill University; Kaiqiong Zhao, Epidemiology, Biostatistics and Occupational Health, and Human Genetics, McGill University; Lajmi Lakhal-Chaieb, Université Laval
3:45 PM	Floor Discussion

461 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 202
Bugs, Bugs Everywhere - the Statistics Behind Our Microbiome — Topic Contributed Papers
Section on Statistical Graphics, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Ni Zhao, Johns Hopkins University
Chair(s): Michael C. Wu, Fred Hutchinson Cancer Research Center
8:35 AM	An Integrated Microbe-Metabolite Interaction Map Presentation Jing Ma, Fred Hutch Cancer Research Center
8:55 AM	Concomitant Regression Models for Microbiome Data Presentation Christian Mueller, Flatiron Institute; Aditya Mishra, Flatiron Institute; Patrick Combettes, North Carolina State University
9:15 AM	Interactive Statistical and Visual Analysis of Longitudinal Metagenomic Hector Corradoa Bravo, University of Maryland
9:35 AM	Compositional Knockoff Filter for FDR Control in Microbiome Regression Analysis Presentation 1 Presentation 2 Arun Srinivasan, Pennsylvania State Univ; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Xiang Zhan, Pennsylvania State University
9:55 AM	Floor Discussion

467 *	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 122
Statistical Advances for Cancer Genomics and Immunogenomics - from Single-Cell to Correlated Population — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, WNAR, SSC
Organizer(s): Qunhua Li, Penn State University
Chair(s): Ying Huang, Fred Hutchinson Cancer Research Center
8:35 AM	Variability-Preserving Imputation for Accurate Gene Expression Recovery in Single Cell RNA Sequencing Studies Presentation Mengjie Chen, University of Chicago; Xiang Zhou, U of Michigan
8:55 AM	ScImpute: Accurate and Robust Imputation for Single Cell RNA-Seq Data Presentation Jingyi Li, University of California, Los Angeles; Wei Li, University of California, Los Angeles
9:15 AM	Using RNA-Seq Data to Study Patients' Response on Tumor Immunotherapy Wei Sun, Fred Hutchinson Cancer Research Center; Chong Jin, UNC-Chapel Hill; Paul Little, UNC Chapel Hill; Danyu Lin, University of North Carolina; Mengjie Chen, University of Chicago
9:35 AM	A Discrete Threshold Model for the Clone Size Distribution of the Immune Repertoire Qunhua Li, Penn State University; Hillary Koch, Penn State University; Dmytro Starenki, Hudson Alpha Institute for Biotechnology; Sara Cooper, HudsonAlpha Institute of Biotechnology; Rick Myers, HudsonAlpha Institute of Biotechnology
9:55 AM	Sequencing Data, Repeated Measures and Genetic Heritability Katerina Kechris, Colorado School of Public Health; Brian Vestal, National Jewish Health; Wen Jenny Shi, University of Colorado Anschutz Medical Campus; Pratyaydipta Rudra, University of Colorado at Denver; Pamela Russell, University of Colorado Anschutz Medical Campus; Laura Saba, University of Colorado Anschutz Medical Campus
10:15 AM	Floor Discussion

489	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 112
Methods Development for Mediation and Interaction in Post-GWAS Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Wenyi Wang, MD Anderson Cancer Center
8:35 AM	Improved Variance Component Score Tests of Gene-Environment Interactions Presentation NANXUN MA, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center; Jing Ma, Fred Hutch Cancer Research Center
8:50 AM	Pleiotropy Informed Adaptive Association Test of Multiple Traits Using GWAS Summary Data Presentation Maria Masotti, University of Minnesota ; Baolin Wu, University of Minnesota ; Bin Guo, University of Minnesota
9:05 AM	A Unified Framework to Perform Inference for Pleiotropy, Mediation, and Replication in Genetic Association Studies Ryan Sun, Harvard University; Xihong Lin, Harvard University
9:20 AM	A Functional Neural Network for Genetic Data Analysis Involving High-Dimensional Multivariate Outcomes Shan Zhang, Michigan State University; Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
9:35 AM	A New Kernel-Based Method for Multiple-Loci Meta-Analysis Presentation Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University; Xiaoxi Shen
9:50 AM	Proper Conditional Analysis in the Presence of Missing Data Identified Novel Independently Associated Low Frequency Variants in Nicotine Dependence Genes Presentation Yu Jiang; Dajiang Liu, Penn State College of Medicine
10:05 AM	A Functional Proportional Hazards Model for Investigating the Gene-Environment Interaction Effects on Survival Presentation Li Luo, University of New Mexico

490	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 111
Advances in Methods for the Accurate Measurement of High-Throughput Sequencing Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Yinqiu He, University of Michigan
8:35 AM	Joint Modeling of Multiple RNA-Seq Samples for Accurate Isoform Quantification Wei Li, University of California, Los Angeles; Jingyi Li, University of California, Los Angeles; Anqi Zhao, Harvard University; Shihua Zhang, Chinese Academy of Sciences
8:50 AM	Accounting for Gene Expression Quantification Uncertainty Leads to Improved Performance in Differential Splicing Analysis Scott Van Buren, University of North Carolina at Chapel Hill; Naim Rashid, UNC Chapel Hill
9:05 AM	Improving Copy Number Variation Estimation by Incorporating BAF Using ModSaRa Feifei Xiao, University of South Carolina; Heping Zhang, Yale University School of Public Health
9:20 AM	Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection Teng Fei, Emory University; Tengjiao Zhang, School of Life Sciences and Technology, Tongji University; Weiyang Shi, School of Life Sciences and Technology, Tongji University; Tianwei Yu, Emory University
9:35 AM	Normalization of Transcript Degradation Improves Accuracy in RNA-Seq Analysis Ji-Ping Wang, Northwestern University; Bin Xiong, Northwestern University; Yiben Yang, Northwestern University
9:50 AM	RCRnorm: An Integrated System of Random-Coefficient Hierarchical Regression Models for Normalizing NanoString NCounter Data from FFPE Samples Gaoxiang Jia, Southern Methodist University; Guanghua Xiao, The University of Texas Southwestern Medical Center; Xinlei (Sherry) Wang, Southern Methodist University
10:05 AM	Vi-HMM: a Novel HMM-Based Method for Sequence Variant Identification in Short Read Data Presentation Man Tang, Virginia Tech; Mohammad Shabbir Hasan, Virginia Tech; Liqing Zhang, Virginia Tech; Hongxiao Zhu, Virginia Tech University; Xiaowei Wu, Virginia Tech

514 *	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 115
Advanced Statistical Inference for Stochastic Models of Evolutionary Biology — Topic Contributed Papers
Section on Statistics in Genomics and Genetics
Organizer(s): Lam S Ho, Dalhousie University
Chair(s): Lam S Ho, Dalhousie University
10:35 AM	Comparative Methods on Phylogenetic Networks Claudia Solis-Lemus, Emory University; Cecile Ane, University of Wisconsin-Madison; Paul Bastide, Rega Institute, KU Leuven; Ricardo Kriebel, University of Wisconsin-Madison; William Sparks, University of Wisconsin-Madison
10:55 AM	Inferring Non-Bifurcating Phylogenies with the Adaptive Lasso Presentation Vu Dinh, University Of Delaware
11:15 AM	Markov-Modulated Continuous-Time Markov Chains to Identify Site- and Branch-Specific Evolutionary Variation Presentation Guy Baele, KU Leuven
11:35 AM	On Speciation Duration with Migrations Presentation Yujin Chung, Kyonggi University
11:55 AM	Bayesian Nonparametrics for Evolutionary Model Selection Presentation Mandev Gill
12:15 PM	Floor Discussion

530	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 116
Integrative Genomics: EQTL and GWAS — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Eun Jeong Min, University of Pennsylvania
10:35 AM	Optimal Estimation of Simultaneous Signals Using Absolute Inner Product with Applications to Integrative Genomics Presentation Rong Ma, University of Pennsylvania; Tianwen Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania; Mark G Low, University of Pennsylvania
10:50 AM	Estimation and Inference for the Indirect Effect in High-Dimensional Linear Mediation Models Presentation Ruixuan Zhou, University of Illinois at Urbana-Champaign; Liewei Wang, Mayo Clinic; Dave Zhao, University of Illinois at Urbana-Champaign
11:05 AM	Degree Centrality of SNPs in EQTL Networks Presentation Sheila Gaynor, Harvard University; Maud Fagny, Dana Farber Cancer Institute; John Platig, Dana Farber Cancer Institute; Xihong Lin, Harvard University; John Quackenbush, Dana Farber Cancer Institute
11:20 AM	Integrating Data from GWAS and EQTL by Estimating Genetic Relatedness Presentation Jianqiao Wang, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:35 AM	GLMM-Seq: Detection of Population-Based Gene Level Allele-Specific Expression by RNA-Seq Presentation Jiaxin Fan, University of Pennsylvania; Jian Hu, University of Pennsylvania; Muredach Reilly, Columbia University; Rui Xiao, University of Pennsylvania; Mingyao Li, University of Pennsylvania
11:50 AM	Genotype Prediction for All Publicly Available RNA-Seq Data Siruo Wang, Johns Hopkins Bloomberg SPH; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
12:05 PM	Floor Discussion

535	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West Hall B
Contributed Poster Presentations: Section on Statistics in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics
Chair(s): Paul McNicholas, McMaster University
28:	Accounting for Unobserved Covariates with Varying Degrees of Estimability in High-Dimensional Data Chris McKennan, University of Chicago; Dan Nicolae, University of Chicago
29:	SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Jin Szatkiewicz, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
31:	Statistical Methods to Associate Intra-Tumor Heterogeneity with Clinical Outcomes Paul Little, UNC Chapel Hill; Danyu Lin, University of North Carolina; Wei Sun, Fred Hutchinson Cancer Research Center
32:	Harnessing Relatedness for Genotyping Autopolyploids David Gerard, University of Chicago; Matthew Stephens, University of Chicago; Luis Felipe Ventorim Ferrão, University of Florida
33:	Decomposing Pearson's Chi-Squared Test: a Linear Regression and Departure from Linearity Hung-Chih Ku, DePaul University; Zhengyang Zhou, Southern Methodist University; Chao Xing, University of Texas Southwestern Medical Center
34:	Secondary Data Analysis to Predict Therapeutic Outcome of Colorectal Cancer Patients Hannah Monique Bredikhin, Purdue University; Jun Xie, Purdue University
35:	Robust Kernel Association Test (RobKAT) Kara Martinez, North Carolina State University
36:	An Improved Estimator for Variance Components in Linear Mixed Model Kun Yue, University of Washington; Jing Ma, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington
37:	BinQuasi: a Peak Detection Method for ChIP-Sequencing Data with Biological Replicates Emily Goren, Iowa Sate University; Peng Liu, Iowa State University; Chao Wang, Iowa State University; Chong Wang, Iowa State University
38:	TWO-SIGMA: a Two-Component Generalized Linear Mixed Model for ScRNA-Seq Association Analysis Eric Van Buren, UNC Chapel Hill; Yun Li, University of North Carolina at Chapel Hill; Ming Hu, Cleveland Clinic Foundation; Di Wu, UNC Chapel HIll
39:	Effects of Zeros on Analysis in the Microbiome Data Amy Pan, Medical College of Wisconsin; Nita Salzman, Medical College of Wisconsin; T.Hang Nghiem-Rao, Medical College of Wisconsin; Martin Hessner, Medical College of Wisconsin; Pippa Simpson, Medical College of Wisconsin
40:	Assessing Equivalent and Inverse Change in Genomic Data from Multiple Experiments: a New Approach to Functional Analysis Jeffrey Thompson, The University of Kansas Medical Center
41:	Testing Differential Gene Expression from Single-Cell RNA-Seq Data Using Bayes Deconvolusion Jingyi Zhai, University of Michigan; Hui Jiang, University of Michigan
42:	PwrEWAS: a Computationally Efficient Tool for Comprehensive Power Estimation in EWAS Stefan Graw, University of Kansas Medical Center; Devin C Koestler, University of Kansas Medical Center
43:	A Bayesian Framework for Assessing Concordance in Microbial Abundance with Respect to Grouping Variables Richard Meier, University of Kansas Medical Center; Dominique Michaud, Tufts University School of Medicine; Devin C Koestler, University of Kansas Medical Center
44:	Allele Specific Information in Mendelian Randomization Xuran Wang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania; Dylan Small, University of Pennsylvania; Mingyao Li, University of Pennsylvania
45:	Single Cell Data Mining of Live Cell Epigenetic Modifications Chris Bryan
46:	A Bayesian Latent Variable Approach to Aggregation of Partial and Top Ranked Lists in Genomic Studies Xue Li, Capital One; Xinlei (Sherry) Wang, Southern Methodist University; Pankaj Choudhary, University of Texas at Dallas; Swati Biswas, University of Texas at Dallas
47:	Statistical Inference for Proteomics Data with Missing Peptide Concentrations Hyeongseon Jeon; Dan Nettleton, Iowa State University
49:	Inferences in High-Dimensional Misspecified Mixed Model Analysis for GWAS Cecilia Dao, Yale Univ; Jiming Jiang, University of California, Davis; Debashis Paul, UC Davis; Hongyu Zhao, Yale
50:	A Bayesian Hierarchical Model for Gene Set Enrichment Analysis Abhay Hukku; Xiaoquan William Wen, University of Michigan; Corbin Quick, University of Michigan
51:	Bayesian Hierarchical Modeling of Clustered or Longitudinal RNA Sequencing Experiments Brian Vestal, National Jewish Health; Camille Moore, National Jewish Health; Katerina Kechris, Colorado School of Public Health; Laura Saba, University of Colorado Anschutz Medical Campus; Tasha Fingerlin, National Jewish Health
52:	Probabilistic Inference of Clonal Gene Expression Through Integration of RNA and DNA-Seq at Single-Cell Resolution Kieran Campbell, University of British Columbia; Sohrab P Shah, BC Cancer Agency; Alexandre Bouchard-Côté, University of British Columbia
53:	A Hierarchical, Multiple-Testing Framework for High-Dimensional Data Analysis and Application to Flow Cytometry John Pura
55:	Integrative Analysis of Actively Identified Pathways from Multi-Modal Omics Data Pei-Li Wang, University of Florida; George Michailidis, University of Florida
56:	Expansion of a stochastic model for assessing CT reinfection risk Kristin Olson, University of Alabama at Birmingham; William Geisler, University of Alabama at Birmingham; Hemant Tiwari, University of Alabama at Birmingham
57:	Cross Platform Normalization Method Using Matched Sample Serin Zhang, Florida State University; Jinfeng Zhang, Florida State University; Jiang Shao, Florida State University; Xing Qiu, University of Rochester
58:	Modeling Missingness to Reduce Bias in Single-Cell DNA Methylation Data Divy Kangeyan, Harvard University; Martin Aryee, Harvard University
59:	Integration of Simultaneous Group Effects in MiRNA and Targeted Gene Sets in Ovarian Cancer Wenjun He, Dept. Biostatistics, Univ. at Buffalo; Ravikumar Muthuswamy, Center for Immunotherapy, Roswell Park Comprehensive Cancer Center; Daniel Gaile, Dept. of Biostatistics, University at Buffalo; Kevin Eng, Roswell Park Comprehensive Cancer Center
60:	Assessing Reproducibility in Genome Wide Association Studies Dan McGuire, Penn State College of Medicine
61:	Measure gene - gene dependence using Kullback-Leibler Divergence Guanjie Chen, Center for Research on Genomics and Global Health, NHGRI, NIH
62:	Bayesian Nonparametric Regressions Regarding Correlated Regions and Its Application for Differentially Methylated Regions Suvo Chatterjee, Northern Illinois University; Duchwan Ryu, Northern Illinois University; Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai

562 *	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 304/305
Integrating Neuroimaging and Genomics Data — Invited Papers
Section on Statistics in Imaging, Section on Statistics in Genomics and Genetics, Section on Statistical Learning and Data Science, SSC
Organizer(s): Elizaveta Levina, University of Michigan
Chair(s): Elizaveta Levina, University of Michigan
2:05 PM	Genetic Correlations Between Imaging Traits and Common Diseases Presentation Hongyu Zhao, Yale
2:30 PM	Combining (Epi)Genetic and Imaging Data with Multivariate Data-Driven Models Vince Calhoun, The Mind Research Network & The University of New Mexico
2:55 PM	Using Omics Data to Guide Network Classification in Neuroimaging Studies of Brain Diseases Jean Yee Hwa Yang, University of Sydney, Australia; Elizaveta Levina, University of Michigan; Mengbo Li, University of Sydney; Jesús Arroyo , University of Michigan; Daniel A. Kessler, University of Michigan
3:20 PM	Discussant: Hongtu Zhu, University of North Carolina
3:45 PM	Floor Discussion

595	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 221
Recent Methods Development on RNA-Seq Data Analysis — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Rafal Kulik, University of Ottawa
2:05 PM	Differential Expression Analysis of RNA-Seq Data with Integrated Likelihood Method Yilun Zhang, University of Clifornia, Davis; David Rocke, University of California, Davis
2:20 PM	Cell Type-Aware Differential Expression Analysis for RNA-Seq Data Presentation Chong Jin, UNC-Chapel Hill; Wei Sun, Fred Hutchinson Cancer Research Center; Mengjie Chen, University of Chicago; Danyu Lin, University of North Carolina
2:35 PM	DiPhiSeq: Robust Comparison of Expression Levels on RNA-Seq Data with Large Sample Sizes Presentation Alicia Lamere, Bryant University; Jun Li, University of Notre Dame
2:50 PM	Testing for Differentially Expressed Genetic Pathways with Single-Subject N-Of-1 Data in the Presence of Inter-Gene Correlation Presentation Alfred Schissler, University of Nevada, Reno; Walter W Piegorsch, University of Arizona; Yves A Lussier, University of Arizona
3:05 PM	Variance Component Score Test for Differential Expression in RNAseq Studies Presentation Denis Agniel, RAND Corporation; Boris Hejblum, Universite de Bordeaux
3:20 PM	A Data Adjustment-Tolerant Strategy for RNA-Seq Differential Gene Expression Analysis Presentation Guoshuai Cai, Arnold School of Public Health, University of South Carolina; Jennifer M. Franks, Geisel School of Medicine at Dartmouth; Michael L. Whitfield, Geisel School of Medicine at Dartmouth
3:35 PM	Floor Discussion

606 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 212
Genetic Data for Epidemiologic Inference During an Outbreak: Statistical Challenges and Solutions — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Forrest W Crawford, Yale School of Public Health
Chair(s): Forrest W Crawford, Yale School of Public Health
8:35 AM	Informing HIV Prevention and Surveillance Efforts Using Large-Scale Molecular Transmission Cluster Inference Presentation Sergei Pond, Temple University; Joel Wertheim, University of California San Diego
8:55 AM	Those Who Escaped Must Be Captured: Deconstructing Phylogenies and Transmission Trees in Infectious Disease Epidemiology Presentation Eben Kenah, The Ohio State University School of Public Health
9:15 AM	Estimation and Comparison of Transmission Trees Using Sequence Data Michelle Kendall, Oxford University; Caroline Colijn, Simon Fraser University
9:55 AM	Discussant: Jacco Wallinga, Leiden University Medical Center and National Institute for Public Health and the Environment (NL)
10:15 AM	Floor Discussion

608 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 213
Cross-Disciplinary Research on Statistical Genomics and Bioinformatics — Invited Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, National Institute of Statistical Sciences, SSC
Organizer(s): James L Rosenberger, NISS (National Institute of Statistical Sciences) and Penn State
Chair(s): Rebecca W Doerge, Carnegie Mellon University
8:35 AM	What Has a Statistics Group Learned in Studying a Biological System Presentation Wing Hung Wong, Stanford University
9:00 AM	Learning Nonconvex Hierarchical Interactions Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:25 AM	Bayesian Bi-Clustering Methods with Applications to Integrative Genomics and Genetics Jun Liu, Harvard University; Yang Li, Vatic Labs; Jiexing Wu, Google
9:50 AM	Discussant: Hongzhe Li, University of Pennsylvania
10:15 AM	Floor Discussion

654 *	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-East 9
New Methodology Developments in Single Cell RNA-Seq — Topic Contributed Papers
International Chinese Statistical Association, Section on Statistics in Genomics and Genetics, Caucus for Women in Statistics
Organizer(s): Zhijin Wu, Brown University
Chair(s): Zhijin Wu, Brown University
10:35 AM	Single-Cell ATAC-Seq Signal Extraction and Enhancement Hongkai Ji, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health
10:55 AM	Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments Stephanie Hicks, Johns Hopkins SPH
11:15 AM	Effects of Protocol Choices on Technical Artifacts in Single-Cell RNA-Seq Data Using a Data Generation Simulation Framework Rhonda Bacher, University of Florida
11:35 AM	Noise Modeling and Denoising of UMI-Based Single Cell RNA Sequencing Data Nancy Zhang; Mo Huang, University of Pennsylvania; Mingyao Li, University of Pennsylvania; Jingshu Wang, University of Pennsylvania
11:55 AM	Floor Discussion

679	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 114
Variable Selection and Prediction Models for Genomic Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Andriy Derkach, National Cancer Institute
10:35 AM	A New Statistical Method for Genome-Scale Mutual Exclusivity Analysis of Tumor Mutations Presentation Chi Wang, University of Kentucky; Sisheng Liu, Fred Hutchinson Cancer Research Center; Jinpeng Liu, Markey Cancer Center, University of Kentucky; Thilakam Murali, University of Kentucky; Tingting Zhai, University of Kentucky; Li Chen, University of Kentucky; Arnold Stromberg, University of Kentucky; Hunter Moseley, University of Kentucky
10:50 AM	MDR with P Risk Scores Per Person with Application to Alzheimer's Disease Data Ye Li, University of Kentucky; Richard Charnigo, University of Kentucky
11:05 AM	A Kernel-Based Neural Network for High-Dimensional Genetic Risk Prediction Analysis Presentation Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
11:20 AM	Developing Polygenic Risk Prediction Models for Cancer Subtypes Incorporating Multivariate Disease Characteristics Presentation Haoyu Zhang, Johns Hopkins University; Thomas U. Ahearn, National Cancer Institute; Ni Zhao, Johns Hopkins University; Montserrat García-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
11:35 AM	Survival Analysis of Recurrent Events on Prostate Cancer: Facts from Cancer Genome Presentation Munni Begum, Ball State University
11:50 AM	SMUT: Multi-SNP Mediation Intersection-Union Test Wujuan Zhong, University of North Carolina, Chapel Hill; Cassandra Spracklen, University of North Carolina, Chapel Hill; Karen Mohlke, University of North Carolina, Chapel Hill; Xiaojing Zheng, University of North Carolina, Chapel Hill; Jason P Fine, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
12:05 PM	A General Framework for Variable Selection in Linear Mixed Models with Applications to Genetic Studies with Structured Populations Presentation Sahir Rai Bhatnagar, McGill University; Karim Oualkacha, Universite Du Quebec a Montreal; Yi Yang, McGill University; Celia M.T. Greenwood, Lady Davis Research Institute, McGill University

JSM 2018 Online Program

Activity Details

American Statistical Association