Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = applied session ! = JSM meeting theme

Activity Details

4 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Utilizing Public Genomic Data for the Public Good: Improving Understanding of Disease Etiology and Treatment — Invited Papers
WNAR, Korean International Statistical Society, Section on Statistics in Genomics and Genetics
Organizer(s): Dongjun Chung, The Ohio State University
Chair(s): Dongjun Chung, The Ohio State University
10:05 AM	Harmonizing Genetic Ancestry and Self-Identified Race/Ethnicity in Genome-Wide Association Studies Hua Tang, STANFORD UNIVERSITY
10:25 AM	Model Checking and More Powerful Inference in Transcriptome-Wide Association Studies Wei Pan, University of Minnesota
10:45 AM	Integrative Analysis of Cancer Multi-Omics Data Qianxing Mo, H. Lee Moffitt Cancer Center & Research Institute
11:05 AM	Translating Genomic and Transcriptomic Studies to Identify Actionable Targets Hae Kyung Im, University of Chicago
11:25 AM	Prioritizing Disease Candidate Genes Using Knockout Mouse Phenotype Data Donghyung Lee, Miami University
11:45 AM	Floor Discussion

32 *	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Computational and Statistical Methods for Single-Cell Transcriptomics and Epigenomics Analyses — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Qunhua Li, Penn State University
Chair(s): Claire Jin, State College Area High School
10:05 AM	Gene Set Testing Methods for Single Cell RNAseq (ScRNAseq) Data Di Wu, University of North Carolina at Chapel Hill; Hunyong Cho; Eric Van Buren; Chuwen Liu, University of North Carolina, Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
10:25 AM	Identifying Topologically Associating Domain Structures from Single-Cell Hi-C Data Qunhua Li, Penn State University; Qiuhai Zeng, Wuhan University; Xi He, Pennsylvania State University; Yu Zhang, Two sigmas; Tracey Zheng, Pennsylvania State University
10:45 AM	Cumulus: A Cloud-Based Data Analysis Framework for Large-Scale Single-Cell and Single-Nucleus RNA-Seq Bo Li, Massachusetts General Hospital
11:05 AM	Computational Methods for Single Cell Chromatin Organization Analysis Presentation Jie Liu
11:25 AM	Floor Discussion

42	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Genetics I – New Approaches for Association Mapping — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	An Integrative Testing Procedure in SNP-Sets Analysis Yeonil Kim, Merck & Co., Inc; Judong Shen, Merck & Co., Inc.; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
	Identification of Population-Specific Associations in Multi-Ethnic Genome-Wide Association Studies Ming Hin Ng, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
	Robust Region-Based Rare Variant Tests in Large Biobanks and Cohorts Zhangchen Zhao, University of Michigan; Wei Zhou, Broad Institute of Harvard and MIT; Seunggeun Lee, University of Michigan
	Multiple Phenotype---Multiple Genotype Testing with Principle Components Andy Shi, Harvard TH Chan School of Public Health; Ryan Sun, University of Texas, MD Anderson Cancer Center; Xihong Lin, Harvard TH Chan School of Public Health
	Multi-Trait Analysis of Rare-Variant Association Summary Statistics Using MTAR Lan Luo, University of Wisconsin-Madison; Judong Shen, Merck & Co., Inc.; Zheng-Zheng Tang, University of Wisconsin-Madison; Hong Zhang, Merck & Co., Inc.; Aparna Chhibber, Genetics and Pharmacogenomics, Merck & Co., Inc.; Devan Mehrotra, Merck
	A Bayesian Method for Rare Variant Analysis Using Functional Annotations and Its Application to Autism Shengtong Han, University of Wisconsin, Milwaukee

43	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Genetics II – New Models for Complex Study Designs — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	A Statistical Integration Framework for Model Organism Multi-Omics Data to Identify Target Genes of Human GWAS Variants Chenyang Dong, University of Wisconsin-Madison; Mark Keller, University of Wisconsin-Madison; Shane Simonett, University of Wisconsin-Madison; Sunyoung Shin, University of Texas at Dallas; Donnie Stapleton, University of Wisconsin-Madison; Gary Churchill, The Jackson Laboratory; Alan Attie, University of Wisconsin-Madison; Sunduz Keles, University of Wisconsin, Madison
	A Comparative Analysis of Penalized Linear Mixed Models in Structured Genetic Data Anna Reisetter, University of Iowa, Department of Biostatistics; Patrick Breheny, University of Iowa, Department of Biostatistics
	Efficient SNP-Based Heritability Estimation Using Gaussian Predictive Process Modeling in Large-Scale Cohort Studies Souvik Seal, University of Minnesota; Abhi Datta, Johns Hopkins University; Saonli Basu, Division of Biostatistics, University of Minnesota
	Set-Based Genetic Association and Interaction Tests for Survival Outcomes Based on Weighted V Statistics Chenxi Li, Michigan State University; Di Wu, Michigan State University; Qing Lu, University of Florida
	Quantile Rank Test for Dynamic Heterogeneous Genetic Effects in Longitudinal Electronic Health Record Analysis Tianying Wang, Columbia University; Iuliana Ionita-laza, Columbia University; Ying Wei, Columbia University; Chunhua Weng, Columbia University; Zixu Wang, Columbia University
	A Fast and Accurate Method for Genome-Wide Time-to-Event Data Analysis and Its Application to UK Biobank Wenjian Bi, University of Michigan; Lars G Fritsche, University of Michigan; Bhramar Mukherjee, University of Michigan; Sehee Kim, University of Michigan; Seunggeun Lee, University of Michigan
	Transfer Learning in Cross-Project Test Shan Zhang, Michigan State University
	A SVM-Based Ancestry Inference Method for Large-Scale Genetic Data Zhennan Zhu, University of Virginia; Ani Manichaikul, University of Virginia; Maria Murach, University of Virginia; Catherine Robertson, University of Virginia; Suna Onengut-Gumuscu, University of Virginia; Stephen Rich, University of Virginia; Wei-Min Chen, University of Virginia

44	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Methods in Gene Expression Data Analysis I — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	Detecting Allele-Specific Expression and Alterations of Allele-Specific Expression by a Bivariate Bayesian Hidden Markov Model Tieming Ji, University of Missouri At Columbia
	Decoding Heterogeneity in Bulk Tumor Gene Expression Data Daiwei Tang, Yale University; Seyoung Park, Sungkyunkwan University; Hongyu Zhao, Yale University
	Prioritizing SNP Sets by Joint Model Selection Juhyun Kim, University of California, Los Angeles; Judong Shen, Merck & Co., Inc.; Anran Wang, Merck & Co., Inc. ; Devan Mehrotra, Merck; Jin Zhou, University of Arizona; Hua Zhou, University of California, Los Angeles
	Time-Varying Stochastic Block Models via Kernel Smoothing, with Application to RNA-Seq Data and Cell Development Kevin Lin, Carnegie Mellon University; Jing Lei, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
	Bayesian Subject-Level Bulk Expression Deconvolution and Application to Cell-Type-Specific Differential Expression Analysis Jiebiao Wang, University of Pittsburgh; Bernie Devlin, University of Pittsburgh; Kathryn Roeder, Carnegie Mellon University
	MuSiC2: Multi-Condition Bulk RNA-Seq Cell Type Deconvolution Jiaxin Fan, University of Pennsylvania; Yafei Lyu, University of Pennsylvania; Rui Xiao, University of Pennsylvania; Mingyao Li, University of Pennsylvania

46 *	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
New Advances in Cancer Genomics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	A Phylogenetic Approach to Inferring the Order in Which Mutations Arise During Cancer Progression Yuan Gao, The Ohio State University; Jeff Gaither, Institute for Genomic Medicine, Nationwide Children's Hospital; Julia Chifman, American University; Laura Kubatko, Ohio State University
	A Semiparametric Kernel Independence Test with Application to Mutational Signatures DongHyuk Lee, National Cancer Institue; Bin Zhu, NCI
	Estimating Overall Contribution of Transcriptome to the Variation of Cancer Survival Sung Duk Kim, National Cancer Institute; Jianxin Shi, National Cancer Institute
	TransPRECISE: Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome Presentation Rupam Bhattacharyya, University of Michigan; Min Jin Ha, UT MD Anderson Cancer Center; Qingzhi Liu, University of Michigan; Rehan Akbani, The University of Texas MD Anderson Cancer Center; Han Liang, The University of Texas MD Anderson Cancer Center; Veera Baladandayuthapani, University of Michigan
	Smaller P-Values in Genomics Studies Using Distilled Historical Information Jordan Bryan, Duke University; Peter Hoff, Duke University

81	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Section on Statistics in Epidemiology — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics
1:	Length of Stay and Cost of Hospitalizations in Patients with Spina Bifida with and Without Pressure Injuries Yinding Wang, Centers for Disease Control and Prevention; Lijing Ouyang, Centers for Disease Control and Prevention ; Brad E. Dicianno, University of Pittsburgh; Patricia Beierwaltes, Minnesota State University - Mankato; Rodolfo Valdez, Centers for Disease Control and Prevention ; Judy Thibadeau, Spina Bifida Association; Julie Bolen, Centers for Disease Control and Prevention
2:	Robust G-Computation for Estimating Causal Risk Differences and Risk Ratios for Dichotomous Outcomes with a Fixed-Time Binary Treatment Jay Xu, UCLA; Thomas R. Belin, UCLA
3:	Adapted Simulation Island Filters for Partially Observed Spatiotemporal Systems Kidus Asfaw, University of Michigan; Edward Ionides, University of Michigan; Joonha Park, Boston University; Aaron King, University of Michigan
4:	Introducing Sparse Weighted Sum Regression (SWSR): Variable Selection for Correlated Chemical Exposures Grace Lyden; David Vock, University of Minnesota; Shanna H. Swan, Mount Sinai School of Medicine; Emily S. Barrett, Rutgers University; Sheela Sathyanarayana, University of Washington; Ruby H.N. Nguyen, University of Minnesota
6:	Randomized Fixed Model Methodology for Genome Wide Association Study Sakar Sigdel
7:	Non-Parametric Bayesian Built Environment Heterogenous Effect Estimation Adam Peterson, University of Michigan; Brisa Sanchez, Drexel University
8:	A Semiparametric Modeling Approach to Causal Mediation Analysis for Longitudinal Data Youjun Li, Case Western Reserve University; Jeffery M Albert, Case Western Reserve University
9:	Incorporating Additional Information Using Penalized Regression for Gene-Environment Interaction Analysis Yaqing Xu, Yale University; Hao Mei, Yale University; Shuangge Ma, Yale University
10:	A Thought-Provoking Alternative to Interval-Based Inference Marie-Abele Bind, Harvard University; Donald Rubin, Tsinghua University
11:	Branching Processes with Covariates to Model the Spread of Tuberculosis Shannon Gallagher, NIAID; Dean Follmann, NIAID
12:	Gene Network Construction Using Ordering Information Meichen Dong, University of North Carolina at Chapel Hill; Fei Zou, University of North Carolina at Chapel Hill
13:	IGMDM: A Bayesian Mixture Model with Data Integration for Detection of Chromatin Interactions Shuyuan Lou, Ohio State University; Shili Lin, Ohio State University
14:	Estimating the Causal Effect of Surgical Treatment for Posterior Malleolus Fracture with Different Treatment Rules on Patient Reported Outcomes Nicholas Williams, Weill Cornell Medicine; Oleksandr Savenkov, Weill Cornell Medicine; Bopha Chrea, Hospital for Special Surgery
15:	Estimating the Causal Effect of Sepsis on Mortality in ICU Patients with and Without a Solid Organ Transplant Using Survival Targeted Minimum Loss-Based Estimation Katherine Hoffman, Weill Cornell Medicine; Iván Díaz, Weill Cornell Medicine
16:	Attributing Spatial Repellent Efficacy to Entomological Effects Modulated by Human Behavior Annaliese Wieler, University of Notre Dame; Nicole L Achee, Eck Institute for Global Health, University of Notre Dame; John P Grieco, Eck Institute for Global Health, University of Notre Dame; Neil Lobo, Eck Institute for Global Health, University of Notre Dame; Sean Moore, Eck Institute for Global Health, University of Notre Dame; Alex Perkins, Eck Institute for Global Health, University of Notre Dame
18:	Genetic Connection to Drug Induced Liver Injury (DILI) Through Statistical Learning Methods Roland Moore, Florida State University
19:	A Joint Statistical Model for Repeated Time-to-Event and Longitudinal Data Jiangtao Luo, EVMS-Sentara Healthcare Analytics and Delivery Science Institute (HADSI) , Eastern Virginia Medical; Zheng Chen, Southern University at New Orleans; Ismail El Moudden, Eastern Virginia Medical School; Mohan Dev Pant, Eastern Virginia Medical School
21:	A Spatially Varying Transmission Model for Foot and Mouth Disease Xiaoxiao Li, Penn State University; Murali Haran, Pennsylvania State University; Matthew Ferrari, Penn State University
22:	Variable Selection on Propensity Score Methods for Multiple Treatments Hulya Kocyigit, University of Georgia
23:	Comparison of Smartwatch-Based Lifestyle Measures Between Individuals with and Without Type 2 Diabetes in the Middle-Aged Participants of the Framingham Heart Study Yuankai Zhang, Boston University School of Public Health; Chathurangi H Pathiravasan, Department of Biostatistics, School of Public Health, Boston University; Michael Hammond, Boston University; Honghuang Lin, Section of Computational Biomedicine, Department of Medicine, Boston University ; Mayank Sardana, University of California San Francisco; Ludovic Trinquart, Boston University School of Public Health; Emelia J. Benjamin, Department of Medicine, and Department of Epidemiology, Boston University ; Belinda Borrelli, Department of Health Policy & Health Services Research, Boston University; Kelsey Fusco, Boston University; Jelena Kornej, Boston University; Nicole Spartano, Boston University; David McManus, University of Massachusetts; Emily Manders, Boston University; Vik Kheterpal, Care Evolution; Chris Nowak, Care Evolution; Joanne M. Murabito, Section of General Internal Medicine, Department of Medicine, Boston University; Chunyu Liu, Department of Biostatistics, Boston University School of Public Health, Boston
25:	Causal Effects in Twin Studies: the Role of Interference Bonnie Smith, Johns Hopkins Bloomberg School of Public Health; Elizabeth Ogburn, Johns Hopkins Bloomberg School of Public Health; Saonli Basu, Division of Biostatistics, University of Minnesota; Matthew McGue, University of Minnesota; Daniel O Scharfstein, Johns Hopkins University
27:	A Robust Test for Additive Gene-Environment Interaction Under the Trend Effect of Genotype Using an Empirical Bayes-Type Shrinkage Estimator Nilotpal Sanyal, Stanford University School of Medicine; Valerio Napolioni, Stanford University School of Medicine; Matthieu de Rochemonteix, Stanford University School of Medicine; Michaël E. Belloy, Stanford University School of Medicine; Michael D. Greicius, Stanford University School of Medicine; Nilanjan Chatterjee, Johns Hopkins University; Summer Han, Stanford University
28:	Inferences on the Number of Categories in Hematopoietic Stem Cell Barcoding Data Siyi Chen, Rice University; Marek Kimmel, Rice University; Katherine King, Baylor College of Medicine
29:	Integration of Conflicting Exposure Data from Multiple Sources Jung Yeon Won; Brisa Sanchez, Drexel University; Michael R Elliott, University of Michigan
30:	False Discovery Rate (FDR) Control in Microbiome Analysis with Phylogenetic Tree Information Xuechan Li, Duke University; Kouros Owzar, Duke University; Anthony Sung, Duke University; Jichun Xie, Duke University
31:	Identification of Specific MRNA Associated with Lymph Node Metastasis in Pancreatic Cancer Using Predictive Models Nancy Suralik, Office of the State Comptroller, Medical Fraud Division; Samiran Sinha, Texas A&M; Sanjukta Chakraborty, Medical Physiology, College of Medicine , Texas A&M University; Gordon Olwell, Data Scientist
32:	An EM-Based Method for Genotyping and SNP Discovery in Allotetraploids Yudi Zhang
33:	Adapting to Unknown Genetic Effects for Novel Gene Detection Using GWAS Summary Data Xiaohui Chen; Zheyang Wu, Worcester polytechnic Institute
34:	Molecular Signature Predictive of Survival in Metastatic Cutaneous Melanoma Yuna Kim, Drexel University, Dornsife School of Public Health; Issa Zakeri, Drexel University, Dornsife School of Public Health; Sina Nassiri, Bioinformatics Core Facility, The Swiss Institute of Bioinformatics (SIB)
35:	Significant Gene Array Analysis and Cluster-Based Random Forest Modeling for Breast Cancer Relapse Prediction Myrine Barreiro-Areval, University of Texas Rio Grande Valley
36:	Correlation-Based Pathway Analysis for the Integration of Metabolome and Microbiome Data Bridget Lin, University of North Carolina at Chapel Hill; Hunyong Cho; Lara Heimisdottir, University of North Carolina at Chapel Hill; Kimon Divaris, University of North Carolina at Chapel Hill; Di Wu, University of North Carolina at Chapel Hill
37:	Trajectory Based Gene Regulation Inference on Single Cell RNA-Seq Wenxuan Deng, Yale University; Biqing Zhu, Yale University; Taylor S Adams, Yale University School of Medicine; Naftali Kaminski, Yale University School of Medicine; Hongyu Zhao, Yale University
38:	Bayesian Hierarchical Model for Single Cell Hi-C Matrix Imputation and Its Impact on Chromosome 3D Structure Qing Xie, The Ohio State University; Chenggong Han, Ohio State University; Shili Lin, Ohio State University
39:	Fractal Dimension as a Dimensionality Reduction Tool in Gene Expression Analysis Hansapani Rodrigo, University of Texas Rio Grande Valley; Manoj Peiris, University of Texas Rio Grande Valley; Myrine Barreiro-Areval, University of Texas Rio Grande Valley; Rebecca Bernal, University of Texas Rio Grande Valley
40:	Bayesian Causal Mediation Analysis with Multiple Mediators Tianming Gao, AbbVie
42:	Comparative Analysis of Gene Regulatory Network Reconstruction Approaches for Single-Cell RNA Sequencing Data Satabdi Saha, Michigan State University; Tapabrata (Taps) Maiti, Michigan State University; Sudin Bhattacharya, Michigan State University
43:	Scalable Estimation for Bayesian Latent Class Phenotyping of Electronic Health Records Using a Variational Bayes (VB) Approach Jeong Hwan Kook, Merck & Co Inc; Richard Baumgartner, Merck; Vladimir Svetnik, Merck & Co., Inc.; Rebecca A Hubbard, University of Pennsylvania
44:	Fine-Tuning Polygenic Risk Scores with GWAS Summary Statistics Zijie Zhao, University of Wisconsin-Madison; Yanyao Yi, Eli Lilly and Company; Qiongshi Lu, University of Wisconsin-Madison
45:	Applying Statistical Learning Algorithms on the Prediction of Response to Immune Checkpoint Blockade Therapy Tiantian Zeng, University of Kentucky; Chi Wang, University of Kentucky
46:	An Unsupervised Tool for Single-Cell Clustering Result Evaluation Jiyuan Fang, Duke University; Jichun Xie, Duke University; Qijing Li, Duke University; Cliburn Chan, Duke University
47:	Robust Estimation of Genetic Covariance in High-Dimensional Generalized Linear Model Jianqiao Wang, University of Pennsylvania
48:	Leveraging Spatial Correlation to Improve Estimation of Cell Type Specific Methylation from Whole Blood Richard Meier, University of Kansas Medical Center; Jeffrey Thompson, University of Kansas Medical Center; Devin Koestler, University of Kansas Medical Center
49:	Automatic Cell Type Annotation of Single-Cell RNA Sequencing Data Using Deconvolution Methods Amelia Schroeder, University of Pennsylvania School of Medicine; Mingyao Li, University of Pennsylvania

143 *	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Imaging Genetics — Invited Papers
Section on Statistics in Imaging, Mental Health Statistics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Wesley Thompson, University of California, San Diego
Chair(s): Lingjing Jiang, University of California, San Diego
10:05 AM	A Bayesian Spatial Model for Imaging Genetics Yin Song, University of Victoria; Shufei Ge, Simon Fraser University; Jiguo Cao, Simon Fraser University; Liangliang Wang, Simon Fraser University; Nathoo Farouk, University of Victoria
10:30 AM	Heritability Models for Neuroimaging Benjamin B Risk, Emory University; Hongtu Zhu, University of North Carolina at Chapel Hill
10:55 AM	A Grouped Beta Process Model for Multivariate Resting-State EEG Microstate Analysis on Twins Mark Fiecas, University of Minnesota
11:20 AM	Discussant: Wesley Thompson, University of California, San Diego
11:45 AM	Floor Discussion

176	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Genetics III – Predictive Modeling, GxE Interaction, and Causal Inference — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	Cross-Trait Prediction Accuracy of High-Dimensional Ridge-Type Estimators in Genome-Wide Association Studies Bingxin Zhao, University of North Carolina at Chapel Hill; Hongtu Zhu, University of North Carolina at Chapel Hill
	Composite Kernel Association Test (CKAT) for SNP-Set Joint Assessment of Genotype and Genotype-By-Treatment Interaction in Pharmacogenetics Studies Judong Shen, Merck & Co., Inc.; Hong Zhang, Merck & Co., Inc.; Ni Zhao, Johns Hopkins University, Bloomberg School of Public Health; Devan Mehrotra, Merck
	Transcriptional Risk Scores from GWAS and EQTLs for Human Disease Prediction Nayang Shan, Tsinghua University; Yuhan Xie, Yale University; Shuang Song, Tsinghua University; Zuoheng Wang, Yale University; Lin Hou, Tsinghua University
	Mendelian Randomization Approach for Robust and Powerful Estimation and Statistical Inference of Causal Effects Haoyu Zhang, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard TH Chan School of Public Health

179	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Methods in Single-Cell Transcriptomics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	G2S3: A Novel Gene Graph-Based Imputation Method for Single Cell RNA Sequencing Data Weimiao Wu, Yale University; Qile Dai , Yale School of Public Health; Yunqing Liu, Yale School of Public Health; Xiting Yan, Yale School of Medicine; Zuoheng Wang, Yale University
	Construct Cell Specific Networks from Single Cell Expression Xuran Wang, Carnegie Mellon University; Mingyao Li, University of Pennsylvania; Edward B. Lee, University of Pennsylvania; David Choi, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
	NISC: Accurate Clustering Through Neural Network-Imputation for Single-Cell RNA-Seq Data with High Sparsity Xiang Zhang, University of Arizona; Siyang Cao, Department of Electrical & Computer Engineering, University of Arizona; Meng Lu, Interdisciplinary Program in Statistics and Data Science, University of Arizona; Nicholas Lytal, Interdisciplinary Program in Statistics and Data Science, University of Arizona; Lingling An, Interdisciplinary Program in Statistics and Data Science, University of Arizona
	Modeling Dynamic Dependence Structure in Zero-Inflated Bivariate Count Data with Application to Single-Cell RNA Sequencing Data Yen-Yi Ho, University of South Carolina; Zhen Yang, University of South Carolina
	Zero-Inflated Random Forests for Genetic Regulatory Network Estimation in Single Cell RNA-Seq Data Daniel Conn, University of Wisconsin, Madison; Kirby Johnson, University of Wisconsin, Madison; Emery Bresnick, University of Wisconsin, Madison; Sunduz Keles, University of Wisconsin, Madison
	A Joint Deep Learning Model for Clustering and Denoising of ScRNA-Seq Data with Batch Effect Removal Justin Lakkis, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania; David Wang, Graduate Group in Genomics and Computational Biology, University of Pennsylvania; Xiangjie Li, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College; Kui Wang, Department of Informatics Theory and Data Science, Nankai University; Gang Hu, School of Statistics and Data Science, Nankai University; Lyle Ungar, University of Pennsylvania; Mingyao Li, University of Pennsylvania

180	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Methods in Phylogenetics and Metagenomics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	Bayesian Weighted Assembly of Phylogenetic Trees Under the Multispecies Coalescent Andrew Richards, Ohio State University; Laura Kubatko, Ohio State University
	An Evaluation of Filtering Effect in Microbiome Research Quy Cao, University of Montana; Xinxin Xuan Sun, Virginia Commonwealth University; Karun Rajesh, Virginia Commonwealth University; Ekaterina Smirnova, Virginia Commonwealth University
	A Robust Semiparametric Model for the Analysis of Human Microbiome Jinyuan Liu, University of California, San Diego; Xin Tu, University of California, San Diego
	A Bayesian Method for Ranking Differential Abundant Features of Microbiome Data Wenting Zhao, Iowa State University
	Fast Reconstruction of Phylogenetic Networks via Random Sample Consensus Claudia Solis-Lemus, University of Wisconsin Madison
	Reference Invariance Property of Inverse Covariance Matrix Under Additive Log-Ratio Transformation Chuan Tian, Oregon State University; Yuan Jiang, Oregon State University; Duo Jiang, Oregon State University
	An Adaptive Multivariate Two-Sample Test for Microbiome Differential Abundance Analysis Kalins Banerjee; Ni Zhao, Johns Hopkins University, Bloomberg School of Public Health; Arun Srinivasan, Penn State University; Lingzhou Xue, Penn State University and NISS; Steven D. Hicks, Pennsylvania State University; Frank A. Middleton, State University of New York Upstate Medical University; Rongling Wu, Pennsylvania State University; Xiang Zhan, Pennsylvania State University

181	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Methods in Gene Expression Data Analysis II — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	SClineager: A Bayesian Hierarchical Model to Perform Single Cell Lineage Tracing Based on Genetic Variants Presentation Tao Wang, UT Southwestern Medical Center
	AIDE: Annotation-Assisted RNA Transcript Discovery with High Precision Wei Vivian Li, Rutgers, The State University of New Jersey; Shan Li, Sichuan University; Ling Deng, Sichuan University; Xin Tong, University of Southern California; Hubing Shi, Sichuan University; Jingyi Jessica Li, University of California, Los Angeles
	Cell Type Hierarchy Reconstruction via Reconciliation of Multi-Resolution Cluster Tree Minshi Peng, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University; Yuting Wei, Carnegie Mellon University
	Quantile Normalization of Single-Cell RNA-Seq Read Counts Without Unique Molecular Identifiers Frederick Townes, Princeton University; Rafael Irizarry, Harvard T.H. Chan School of Public Health
	A Robust Distance Metric for Single Cell RNA-Sequencing Based on a Multinomial Model Nathan Dyjack, Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics; Andrew Papanastasiou, The University of Edinburgh, MRC Human Genetics Unit; Luca Pinello, Massachusetts General Hospital / Harvard Medical School; Catalina Vallejos, The University of Edinburgh MRC, Human Genetics Unit; Daniel Baker, Johns Hopkins University Department of Computer Science; Ben Langmead, Johns Hopkins University Department of Computer Science; Vladimir Braverman, Johns Hopkins University Department of Computer Science; Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health
	Differential Expression and Single-Cell RNA-Seq Ruth Hummel, JMP Statistical Discovery Software
	Mediation Analysis with Missing Data for Genomics Won Gyo Suh, Statistics , NCSU; Fred A. Wright, Statistics, Biological Sciences, and Bioinformatics Research Center. NCSU; Yi-hui Zhou, Biological Sciences, Statistics, and Bioinformatics Research Center. NCSU

251 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Advances in Microbiome Research from Theory to Application — Invited Papers
Section on Statistics in Genomics and Genetics, Canadian Statistical Sciences Institute, ENAR
Organizer(s): Ni Zhao, Johns Hopkins University, Bloomberg School of Public Health
Chair(s): Xiang Zhan, Pennsylvania State University
1:05 PM	Optimal Estimation of Wasserstein Distance on a Tree with an Application to Microbiome Studies Shulei Wang, University of Pennsylvania; Tony Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
1:25 PM	A Powerful Microbial Group Association Test Based on the Higher Criticism Analysis Ni Zhao, Johns Hopkins University, Bloomberg School of Public Health; Hyunwook Koh, Johns Hopkins University
1:45 PM	Power of Microbiome Beta-Diversity Analyses Based on Standard Reference Samples Mitchell H. Gail, National Cancer Institute; Yunhu Wan, Leidos Corporation
2:05 PM	Models for Microbiome Epidemiology Presentation Curtis Huttenhower, Harvard University
2:25 PM	Discussant: Hongzhe Li, University of Pennsylvania
2:45 PM	Floor Discussion

326	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Genetics IV — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	Mixture Prior for Sparse Signals with Dependent Covariance Structure Ling Wang, Michigan State University; Zongqiang Liao, Blue Cross Blue Shield-Michigan; Haipeng Shen, University of Hong Kong
	How to Modify the Chi-Square Test with Over-Dispersed Genomic Time Series Data Andreas Futschik, JKU Linz; Kerstin Spitzer, Statistics Austria; Marta Pelizzola, Univ. of Veterinary Medicine
	Meta-Analysis of Genomic Experiments: An Empirical Approach Sinjini Sikdar, Old Dominion University
	A Selective Inference Approach for FDR Control Using Multi-Omics Covariates Yields Insights into Disease Risk Presentation Ronald Yurko, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University; Bernie Devlin, University of Pittsburgh
	False Discovery Rates for Second-Generation P-Values in Large-Scale Inference Valerie F. Welty, Vanderbilt University; Jeffrey Blume, Vanderbilt University
	Detecting Selection in Temporal Samples of Allele Frequencies at Multiple Loci Karin Dorman, Iowa State University; Luvenia Hellams, Wells Fargo

327	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Methods in Epigenetics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	Statistical Comparison of Chromosomal Shape Populations Carlos Soto, Florida State University; Anuj Srivastava, Florida State University
	Using Wavelets to Identify Differences in Methylation Data Presentation Jill Lundell, Harvard T.H. Chan School of Public Health; Rafael Irizarry, Harvard T.H. Chan School of Public Health
	DNA Methylation and SNP Data Integration and Imputation Presentation Yuqing Su, Missouri University of Science & Technology; Gayla Olbricht, Missouri University of Science and Technology
	Maximum Likelihood Inference of Species Trees from Ranked Gene Trees Under the Coalescent Model Presentation Anastasiia Kim, University of New Mexico; James Degnan, University of New Mexico
	Assessing Reproducibility of Hi-C Chromatin Loops Using Irreproducible Discovery Rate Regression Chen Xue, Penn State; Qunhua Li, Penn State University; Lin An, Penn State; Feipeng Zhang, Xi'an Jiaotong University
	Estimating Genetic Ancestry from DNA Methylation Data Presentation Samantha Lent, AbbVie; J. Wade Davis, AbbVie

328	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Methods for Multi-Omics Data Integration — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
	IMIX: A Multivariate Mixture Model Framework for Integrative Analysis of Multiple Types of Omics Data Ziqiao Wang, The University of Texas MD Anderson Cancer Center; Peng Wei, The University of Texas MD Anderson Cancer Center
	A Reference-Guided Approach for Epigenetic Characterization of Single Cells Presentation Zhixiang Lin; Shengquan Chen, Department of Automation, Tsinghua University; Guanao Yan, Department of Statistics, the Chinese University of Hong Kong; Wenyu Zhang, Department of Statistics, the Chinese University of Hong Kong; Jinzhao Li, Department of Statistics, the Chinese University of Hong Kong; Rui Jiang, Department of Automation, Tsinghua University
	Integrative Analysis of RNA-Seq and CLIP-Seq Data Sets with SURF Fan Chen, University of Wisconsin; Sunduz Keles, University of Wisconsin, Madison
	A Three-Groups Bayesian Approach for Combining Information from RNA-Seq and GWAS Data with Applications to Parkinson's Disease Daisy Philtron, Pennsylvania State University; Benjamin A Shaby, Colorado State University; Vivian Cheng, Pennsylvania State University
	Bootstrap Evaluation of Association Matrices (BEAM): A Robust Method for Integrated Analysis of Multiple Omic Data Sets with Multiple Clinical Outcomes Stanley Pounds, St. Jude Children's Research Hospital; Xueyuan Cao, University of Tennessee Health Science Center; Lei Shi, St. Jude Children's Research Hospital; Huiyun Wu, St. Jude Children's Research Hospital; Cheng Cheng, St. Jude Children's Research Hospital
	Distance-Based Analysis for Longitudinal Multi-Omic Data Anna Plantinga, Williams College

393 *	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Genetic Data Analysis, What Could Possibly Go Wrong? — Invited Papers
Section on Statistics in Genomics and Genetics, Section on Statistical Consulting, ENAR
Organizer(s): Kwang-Youn A Kim, Northwestern University
Chair(s): Donghyung Lee, Miami University
1:05 PM	To Ignore or Not to Ignore: Dealing with Missing Gene Expression Data Kwang-Youn A Kim, Northwestern University
1:25 PM	Too Good to Be True: Statistical Follies in Genome Wide Association Studies Sharon Lutz, Harvard Medical School; Joanne Sordillo, Harvard Medical School; Ann Wu, Harvard Medical School
1:45 PM	Biological Truth or Experimental Artifact? Developing Biomarkers That Generalize Across Genomic Assay Technologies Rosemary Braun, Northwestern University
2:05 PM	Putting the Science in Genomic Data Science Sihai Dave Zhao, University of Illinois at Urbana-Champaign
2:25 PM	Statistics for Poop Data: Keeping Your Microbiome Analyses Out of the Toilet Michael C Wu, Fred Hutchinson Cancer Research Center
2:45 PM	Floor Discussion

406 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Advances of Statistical Methodologies in Proteogenomics Research — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
Chair(s): Pei Wang, Icahn Medical School at Mount Sinai
1:05 PM	Statistical Characterization of Quantitative Changes in Global Post-Translational Modification Profiling Experiments Tsung-Heng Tsai, Kent State University; Erik Verschueren, Genentech, Inc.; Olga Vitek, Northeastern University
1:25 PM	Repulsive Mixtures for the Classification of Single Cells Francesca Petralia, Icahn School of Medicine At Mount Sinai
1:45 PM	Extracting Biological Information from Extreme Values in Proteogenomics Data Wenke Liu; Kelly Ruggles, NYU school of medicine; David Fenyo, NYU school of medicine
2:05 PM	Sparse Multiple Co-Inertia Analysis with Application to Integrative Analysis of Multi -Omics Data Eun Jeong Min, Univerisity of Pennsylvania; Qi Long, University of Pennsylvania
2:25 PM	A New Molecular Signature Method for Prediction of Driver Cancer Pathways from Transcriptional Data Boris Reva
2:45 AM	Floor Discussion

425 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Novel Methods for Analyzing Genetic and Genomic Data on Complex Diseases — Invited Papers
Section on Statistics in Genomics and Genetics, Biopharmaceutical Section, Section on Statistics in Epidemiology
Organizer(s): Jichun Xie, Duke University
Chair(s): Jichun Xie, Duke University
10:05 AM	CCmed for Identifying Robust Trans-EQTLs and Assessing Their Effects on Human Traits Fan Yang, University of Colorado Anschutz Medical Campus; Kevin Gleason, University of Chicago; Jiebiao Wang, University of Pittsburgh; Jubao Duan, University of Chicago; Xin He, University of Chicago; Brandon Pierce, University of Chicago; Lin Chen, University of Chicago
10:35 AM	Statistical Analysis of Spatial Expression Pattern for Spatially Resolved Transcriptomic Studies Xiang Zhou, University of Michigan; Jiaqiang Zhu, University of Michigan ; Shiquan Sun, University of Michigan
11:05 AM	Floor Discussion

442 *	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Methods for Single-Cell and Microbiome Sequencing Data — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
Organizer(s): Himel Mallick, Merck Research Laboratories
Chair(s): Himel Mallick, Merck Research Laboratories
10:05 AM	Statistical Methods for Clustered Microbiome Data Zheng-Zheng Tang, University of Wisconsin-Madison; Guanhua Chen, University of Wisconsin-Madison
10:25 AM	Statistical Analysis of Coupled Single-Cell RNA-Seq and Immune Profiling Data Hongkai Ji, Johns Hopkins Univ, Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health
10:45 AM	Integrative Differential Expression and Gene Set Enrichment Analysis Using Summary Statistics for Single Cell RNAseq Studies Ying Ma, University of Michigan; Xiang Zhou, University of Michigan; Shiquan Sun, University of Michigan
11:05 AM	Learning Directed Acyclic Graphs Integrating Bulk Tumor and Single Cell RNAseq Data Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Jie Peng, University of California Davis; Pei Wang, Icahn Medical School at Mount Sinai
11:25 AM	A Hierarchical Model for Microbial Abundance Observations Siyuan Ma, Harvard University
11:45 AM	Floor Discussion

446 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM
High-Dimensional Biomarkers in Drug Discovery and Early Drug Development Studies: An Integrated Data Analysis Approach — Topic Contributed Papers

2:45 PM	Floor Discussion

464	Thu, 8/6/2020, 10:00 AM - 2:00 PM
Novel Approaches for Complex Biomedical Data — Contributed Papers

522 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM
New Statistical Methods for Emerging Linked Data and Multi-View Data — Invited Papers

2:45 PM	Floor Discussion

537	Thu, 8/6/2020, 1:00 PM - 2:50 PM
Innovative Statistical Methods for Complex -Omics Data — Topic Contributed Papers

2:45 PM	Floor Discussion

555 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM
New Statistical Methods for Microbiome Data Analysis — Invited Papers

4:45 PM	Floor Discussion

561 *	Thu, 8/6/2020, 3:00 PM - 4:50 PM
Fine-Scale Inference from Aggregate-Level Genomic Data — Invited Papers

10:15 AM	Floor Discussion

581 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM
Advanced Cross-Disciplinary Statistical Methods in Statistical Genomics — Topic Contributed Papers

4:45 PM	Floor Discussion

220183	Fri, 8/7/2020, 4:00 PM - 5:30 PM	Virtual
ASA Section on Statistics in Genomics and Genetics Annual Business Meeting — Other Cmte/Business
IMS
Organizer(s): Jason Xu, Duke University
Chair(s): Jason Xu, Duke University
10:05 AM	Effortless Frequentist Covariances of Posterior Expectations from MCMC Tamara Broderick, MIT
10:30 AM	Repulsive Mixture Modeling Through Matern Processes Vinayak Rao, Purdue University; Hanxi Sun, Purdue University
10:55 AM	Scalable Bayesian Inference for Phylodynamics Julia A. Palacios, Stanford University; Sifan A. Liu, Stanford University
11:20 AM	Exact Convergence Rate Analysis of the Independence Metropolis-Hastings Algorithms Guanyang Wang, Rutgers University
Please join us on Friday, August 7 from 4-5:30pm EDT, for our annual SGG business meeting. Announcements of upcoming events and student paper awards will be made and we’d also like to hear your feedback. There will be breakout rooms for networking. We hope you can attend!

JSM 2020 Online Program

Activity Details

American Statistical Association