Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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* = applied session ! = JSM meeting theme

Activity Details

5 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Novel Methods for Microbiome Data Analysis — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Shulei Wang, University of Illinois at Urbana-Champaign
Chair(s): Shulei Wang, University of Illinois at Urbana-Champaign
1:35 PM	Deep Learning to Predict the Biosynthetic Gene Clusters in Bacterial Genomes Hongzhe Li, University of Pennsylvania
2:00 PM	Kernel Methods for Identifying of Genetic Variants Associated with Microbiome Composition Michael C Wu, Fred Hutchinson Cancer Research Center
2:25 PM	Model-Based Approaches to Dimension Reduction, Unconstrained Ordination, and Composition Estimation for Microbiome Data Tao Wang, Shanghai Jiao Tong University
2:50 PM	Correcting Measurement Error in High-Throughput Sequencing Data David Clausen, University of Washington
3:15 PM	Floor Discussion

46 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Challenges and Breakthroughs in Diabetes and Obesity Research in the Big Data Era — Topic-Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
Organizer(s): Xiang Liu, University of South Florida
Chair(s): Kristian F. Lynch, University of South Florida
3:35 PM	Longitudinal Plasma Metabolome and Circulating Vitamins Stratified Onset Age of an Initial Islet Autoantibody and Progression to Type 1 Diabetes: The TEDDY Study Qian Li, St. Jude Children’s Research Hospital; Xiang Liu, University of South Florida; Jimin Yang, University of South Florida; Iris Erlund, Finnish Institute for Health and Welfare; Åke Lernmark, Lund University; William Hagopian, Pacific Northwest Research Institute; Marian Rewers, University of Colorado Denver; Jin-Xiong She, Augusta University; Jorma Toppari, University of Turku; Anette-G Ziegler, Technical University of Munich; Beena Akolkar, NIDDK/NIH; Jeffrey Krischer, University of South Florida
3:55 PM	Microbial Metabolites and Microbiome in Vitamin D/Vitamin D Receptor Deficiency Are Associated with Obesity Yinglin Xia, University of Illinois at Chicago; Jun Sun, University of Illinois at Chicago
4:15 PM	Prioritization of Causal Genes and Variants in Type 1 Diabetes Using Chromatin Accessibility and Gene Expression Profiling Catherine C Robertson, University of Virginia; Suna Onengut-Gumuscu, University of Virginia; Patrick Concannon, University of Florida; Wei-Min Chen, University of Virginia; Stephen S Rich, University of Virginia
4:35 PM	Bayesian Semiparametric Joint Models to Study Weight and Islet Autoimmunity in Subjects at High Risk for Type 1 Diabetes Xiang Liu, University of South Florida; Roy Tamura, University of South Florida; Kendra Vehik, University of South Florida; Jeffrey Krischer, University of South Florida
4:55 PM	A Bayesian Framework for Estimating the Risk Ratio of Hospitalization for People with Comorbidity Infected by the SARS-CoV-2 Virus Qunfeng Dong, Loyola University Chicago; Xiang Gao, Loyola University Chicago
5:15 PM	Floor Discussion

48 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Academics Industry Perspectives on Cancer Data Innovations: Simultaneous Inference, Inconsistency, and Clinical Response — Topic-Contributed Papers
Biometrics Section, International Indian Statistical Association, Section on Statistics in Genomics and Genetics
Organizer(s): Arnab Kumar Maity, Pfizer
Chair(s): Arnab Kumar Maity, Pfizer
3:35 PM	Estimating Clinical Response Rate in Biomarker-Guided Oncology Studies Using Preclinical Data Shibing Deng, Pfizer, Inc; Feng Liu, Pfizer, Inc; Jadwiga Bienkowska, Pfizer. Inc
3:55 PM	Cure Models with Adaptive Activation for Modeling Cancer Survival Sanjib Basu, University of Illinois Chicago
4:15 PM	Bayesian Nonlinear EM Based Approach for Analysis of Multi-Platform Genomics Data sounak chakraborty, University of Missouri-Columbia
4:35 PM	An Approximate Bayes Factor-Based MANOVA Test Using Random Projection with Application in Cancer Genomics Roger Zoh, Indiana University
4:55 PM	Inconsistency of Model Specifications in Generalized Linear Models Changyong Feng, University of Rochester; Hongyue Wang, University of Rochester; Laurent Glance, University of Rochester; Xin Tu, University of California, San Diego
5:15 PM	Floor Discussion

55	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Statistical methods for data from single cell technologies — Contributed Speed
Section on Statistics in Genomics and Genetics
Chair(s): Pixu Shi, Duke University
3:35 PM	Reconstructing Single-Cell Trajectories via Stochastic Tree Search Jingyi Zhai, University of Michigan; Hui Jiang, University of Michigan
3:40 PM	RZiMM-ScRNA: A Regularized Zero-Inflated Mixture Model Framework for Single-Cell RNA-Seq Data William Bekerman, Department of Statistics and Data Science, Cornell University
3:45 PM	MLG: Multilayer Graph Clustering for Multi-Condition ScRNA-Seq Shan Lu, University of Wisconsin-Madison; Daniel Conn, University of Wisconsin-Madison; Shuyang Chen, University of Wisconsin-Madison; Kirby Johnson , University of Wisconsin-Madison; Emery Bresnick, University of Wisconsin-Madison; Sunduz Keles, University of Wisconsin, Madison
3:50 PM	Estimating Heterogeneous Gene Regulatory Networks from Zero-Inflated Single-Cell Expression Data Qiuyu Wu, Renmin University of China; Xiangyu Luo, Renmin University of China
3:55 PM	A Fast and Efficient Likelihood Approach for Genome-Wide Mediation Analysis Under Extreme Phenotype Sequencing Janaka S. S. Liyanage, St. Jude Children’s Research Hospital; Guolian Kang, St. Jude Children’s Research Hospital
4:00 PM	Deconvolution of Spatial Transcriptomics Data Using Penalized Bayesian Non-Negative Matrix Factorization Roopali Singh, The Pennsylvania State University; Xiang Zhu, The Pennsylvania State University; Qunhua Li, The Pennsylvania State University
4:05 PM	Overview of Simultaneous Inference of Relative Gene Isoform Expressions for RNA Sequencing Factorial Designs Bo Li, The Citadel, The Military College of South Carolina
4:10 PM	Extension of the Condition-Adaptive Fused Graphical Lasso and Application to Modeling Brain Region Co-Expression Networks Souvik Seal, Department of Biostatistics and Informatics, CSPH, CU Anschutz Medical Campus; Katerina Kechris, University of Colorado Anschutz Medical Campus
4:15 PM	SCRIP: An Accurate Simulator for Single-Cell RNA Sequencing Data Fei Qin, University of South Carolina; Xizhi Luo, University of South Carolina; Feifei Xiao, University of South Carolina; Guoshuai Cai, University of South Carolina
4:20 PM	ZIRFs: Zero-Inflated Random Forests for Estimating Gene Regulatory Networks from Single Cell RNA-Seq Data Daniel Conn, University of Wisconsin-Madison; Sunduz Keles, University of Wisconsin, Madison
4:30 PM	Hierarchical Canonical Correlation Screen for Identification and Visualization of Phenotype-Driven Cell Types in Multiple Sample Single-Cell RNA-Sequencing Experiments Boyang Zhang, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
4:35 PM	On the Semiparametric Efficiency of a Class of Functional Response Models for Between-Subject Attributes Jinyuan Liu, UCSD; Tian Chen, The University of Toledo; Tuo Lin, University of California, San Diego; Xinlian Zhang, UCSD; Xin Tu, University of California, San Diego
4:40 PM	SpotClean Adjusts for Spot Swapping in Spatial Transcriptomics Data Presentation Zijian Ni, UW-Madison; Aman Prasad, Department of Dermatology, UW-Madison; Shuyang Chen, University of Wisconsin-Madison; Lisa Arkin, Department of Dermatology, UW-Madison; Richard Halberg, Department of Medicine, UW-Madison; Beth Drolet, Department of Dermatology, UW-Madison; Michael Newton, University of Wisconsin, Madison; Christina Kendziorski, UW-Madison
4:45 PM	Comparative Analysis of Statistical Methods for Single-Cell RNA Sequencing Data Rose Adjei, UTAH STATE UNIVERSITY; John R. Stevens, UTAH STATE UNIVERSITY
4:50 PM	Single-Cell Unbiased Visualization with SCUBI Zhicheng Ji, Duke University School of Medicine; Wenpin Hou, Johns Hopkins Bloomberg School of Public Health
4:55 PM	Lamian: A Statistical Framework for Differential Pseudotime Analysis in Multiple Single-Cell RNA-Seq Samples Wenpin Hou, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Duke University School of Medicine; Zeyu Chen, Mass General Hospital/Harvard Medical School/Broad Institute; Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
5:00 PM	Flexible Copula Model for Integrating Correlated Multi-Omics Data from Single-Cell Experiments Zichen Ma, University of South Carolina; Yen-Yi Ho, University of South Carolina
5:05 PM	A New Algorithm to Decipher Patterned Heterogenous Networks Frederic Bertrand, Université de technologie de Troyes; Myriam Maumy, Université de technologie de Troyes
5:10 PM	Integrative COVID-19 Biological Network Inference with Probabilistic Core Decomposition Yang Guo, University of Victoria; Fatemeh Esfahani, University of Victoria; Xiaojian Shao, National Research Council Canada; Venkatesh Srinivasan, University of Victoria; Alex Thomo, University of Victoria; Li Xing, University of Saskatchewan; Xuekui Zhang, University of Victoria

68 !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances of Causal Inferences in Human Genetics — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Jingshen Wang, UC Berkeley; Chong Wu, Florida State University
Chair(s): Chong Wu, Florida State University
10:05 AM	Inferring Causal Direction Between Two Traits in the Presence of Invalid Instrumental Variables Haoran Xue, University of Minnesota; Wei Pan, University of Minnesota
10:30 AM	Testing for the Direction of Mediation in Genomics Studies James Dai, Fred Hutchinson Cancer Research Center; Heng Chen, Fred Hutchinson Cancer Research Center
10:55 AM	Debiased Inference in Mendelian Randomization After Selecting Among High-Dimensional Genetic Instruments Chong Wu, Florida State University; Jingshen Wang, UC Berkeley
11:20 AM	KnockoffScreen: A Powerful Method for the Identification of Putative Causal Loci in Whole-Genome Sequencing Data via Knockoff Statistics Iuliana Ionita-Laza, Columbia University; Zihuai He, Stanford University
11:45 AM	Floor Discussion

70 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Statistical Advances for Multi-Omics Data of Complex Diseases — Invited Papers
Section on Statistics in Genomics and Genetics, ENAR, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Jiebiao Wang, University of Pittsburgh
Chair(s): Jiebiao Wang, University of Pittsburgh
10:05 AM	SpotClean adjusts for spot swapping in spatial transcriptomics data Christina Kendziorski, UW-Madison; Zijian Ni, UW-Madison; Jared Brown, UW-Madison; Chitrasen Mohanty, UW-Madison
10:30 AM	Multi-Omics Analysis of Psychosis in Alzheimer’s Disease Ying Ding, University of Pittsburgh
10:55 AM	Integrating GWAS and multi-omics QTL summary statistics to elucidate disease genetic mechanisms via a hierarchical low-rank model Lin Chen, University of Chicago; Yihao Lu, University of Chicago
11:20 AM	Integrative Single Cell Analysis of DNA Alterations and Chromatin Accessibility in Cancer Chi-Yun Wu, University of Pennsylvania; Nancy Zhang, The University of Pennsylvania; Hanlee Ji, Stanford University
11:45 AM	Floor Discussion

121 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
In the Pipeline: Statistical Advances to Preserve Biological Signal in High-Throughput, Single-Cell Imaging and Sequencing Methods — Topic-Contributed Papers
Section on Statistics in Imaging, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Coleman R Harris, Vanderbilt University Medical Center
Chair(s): Simon N Vandekar, Vanderbilt University
1:35 PM	ComBat-Seq: Batch Effect Adjustment for RNA-Seq Count Data W. Evan Johnson, Boston University School of Medicine; Yuqing Zhang, Gilead Sciences, Inc.; Giovanni Parmigiani, Harvard University
1:55 PM	Comparison of Normalization Methods to Combine Batches of High-Dimensional Multiplexed Images Presentation Coleman R Harris, Vanderbilt University Medical Center; Qi Liu, Vanderbilt University Medical Center; Eliot McKinley, Vanderbilt University Medical Center; Joseph Roland, Vanderbilt University Medical Center; Ken Lau, Vanderbilt University Medical Center; Robert Coffey, Vanderbilt University Medical Center; Simon N Vandekar, Vanderbilt University
2:15 PM	Design and Analysis of High-Throughput Cell Imaging Studies Johann Gagnon-Bartsch, University of Michigan; Gregory Hunt, College of William & Mary
2:35 PM	Robust Re-Scaling of Imaging Data to Improve Discovery of Latent Effects Gregory Hunt, College of William & Mary; Johann Gagnon-Bartsch, University of Michigan
2:55 PM	Back to the Future: Viewing Single-Cell Assays Through the Lens of Chromatin Structure Timothy J. Triche, Van Andel Institute; Benjamin K Johnson, Van Andel Institute; Hui J Shen, Van Andel Institute
3:15 PM	Floor Discussion

127 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Methods for Multi-Omic Data Analysis — Topic-Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, Section on Statistics in Epidemiology, Caucus for Women in Statistics
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Chad (Qianchuan) He, Public Health Sciences Division, Fred Hutch
1:35 PM	Individual-Level Differential Expression Analysis for Single Cell RNA-Seq Data Si Liu, Fred Hutchinson Cancer Research Center; Mengqi Zhang, University of Pennsylvania; Zhen Miao, University of Washington; Fang Han, University of Washington; Raphael Gottardo, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center
1:55 PM	Bayesian Inference on Multilayered Non-Normal Graphical Models Min Jin Ha, University of Texas MD Anderson Cancer Center; Moumita Chakraborty, University of Texas MD Anderson Cancer Center; Anindya Bhadra, Purdue University; Veerabhadran Baladandayuthapani, University of Michigan
2:15 PM	Cell Type-Specific Expression Quantitative Trait Loci Paul Little, Fred Hutchinson Cancer Research Center; Yun Li, UNC-Chapel Hill; Danyu Lin, University of North Carolina at Chapel Hill; Wei Sun, Fred Hutchinson Cancer Research Center
2:35 PM	Mixed-Effects Regression Models for Analyzing Data with Excess Zeros Yang Liu, Wright State University; Guangyu Xu, Wright State University
2:55 PM	Dimension Reduction in Integrative Survival Analysis with Application to Pan-Cancer Proteomics Aaron Molstad, University of Florida; Rohit Patra, University of Florida
3:15 PM	Floor Discussion

142 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Recent Development in Computational Biology and Bioinformatics — Invited Papers
Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology, Health Policy Statistics Section
Organizer(s): Wenxuan Zhong, University of Georgia
Chair(s): Wenxuan Zhong, University of Georgia
10:05 AM	Deep Generative Modeling of Single Cell Chromatin Conformation Capture Data Sunduz Keles, University of Wisconsin, Madison; Siqi Shen, University of Wisconsin; Ye Zheng, Fred Hutchinson Cancer Research Center
10:30 AM	Analyzing Genomic Data Using Neural Networks Wei Sun, Fred Hutchinson Cancer Research Center
10:55 AM	Cell-to-Cell Trajectories and Pathway Construction for Time-Course Single Cell RNA-Seq Data Ping Ma, University of Georgia
11:20 AM	A Statistical Framework to Identify Cell Types Whose Genetically Regulated Proportions Are Associated with Complex Diseases Wei Liu, Yale University ; Wenxuan Deng, Yale University; Ming Chen, Yale University; Zihan Dong, Yale University; Biqing Zhu, Yale University; Zhaolong Yu, Yale University; Daiwei Tang, Yale University; Hongyu Zhao, Yale University
11:45 AM	Floor Discussion

149 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Statistical Methods for Microbiome Data — Invited Papers
International Indian Statistical Association, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Subharup Guha, University of Florida
Chair(s): Subharup Guha, University of Florida
10:05 AM	Bioinformatics Pre-Processing of Microbiome Data with an Application to Metagenomic Forensics SOMNATH DATTA, University of Florida; Samuel Anyaso-Samuel, University of Florida; Archie Sachdeva, University of Florida; Subharup Guha, University of Florida
10:30 AM	Feature Selection for Microbiome Studies in the Presence of Confounding Using Standardization Emily Goren, Iowa State University; Chong Wang, Iowa State University; Peng Liu, Iowa State University
10:55 AM	Dirichlet-Multinomial Regression Models with Bayesian Variable Selection for Microbiome Data Marina Vannucci, Rice
11:20 AM	Generalized Matrix Decomposition for Exploration, Estimation, and Inference in Two-Way Structured Data Timothy Randolph, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington; Yue Wang, Arizona State University ; Jing Ma, Fred Hutchinson Cancer Research Center
11:45 AM	Floor Discussion

183 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Genomics in Neuroscience — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, Mental Health Statistics Section
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Wei Sun, Fred Hutchinson Cancer Research Center
1:35 PM	Constructing Local Cell-Specific Networks from Single-Cell Data Kathryn Roeder, CARNEGIE-MELLON UNIVERSITY; Xuran Wang, CARNEGIE-MELLON UNIVERSITY; David Choi, Carnegie Mellon University
2:00 PM	Leveraging Gene Expression in Human Brain Tissue to Better Understand Schizophrenia and Its Genetic Risk Andrew Jaffe, Johns Hopkins University
2:25 PM	Estimation of Gene-to-Trait Mediation via EQTL and GWAS Integration Michael Love, UNC-Chapel Hill; Anqi Zhu, UNC-Chapel Hill; Nana Matoba, UNC-Chapel Hill; Jason Stein, UNC-Chapel Hill; Emmaleigh Wilson, UNC-Chapel Hill; Amanda Tapia, UNC-Chapel Hill; Yun Li, UNC-Chapel Hill; Joseph G Ibrahim, UNC
2:50 PM	Deep Learning-Empowered Integrative Analysis of Single-Cell and Spatial Transcriptomics Data Mingyao Li, University of Pennsylvania; Jian Hu, University of Pennsylvania; Kyle Coleman, University of Pennsylvania; Amelia Schroeder, University of Pennsylvania
3:15 PM	Floor Discussion

209	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Statistical methods for genomic and epigenetic data analysis — Contributed Speed
Section on Statistics in Genomics and Genetics
Chair(s): Daniel Conn, University of Wisconsin-Madison
1:35 PM	A Method for Subtype Analysis with Somatic Mutations Meiling Liu, Fred Hutchinson Cancer Research Center; Yang Liu, Wright State University; Michael C Wu, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center; Qianchuan He, Fred Hutchinson Cancer Research Center
1:40 PM	Genomic Prediction Enhanced Sparse Testing for Multi-Environment Trials Reka Howard, University of Nebraska - Lincoln; Diego Jarquin, University of Nebraska - Lincoln; Jose Crossa, CIMMYT
1:45 PM	Integrative Modeling of Massive Multiple-Domain Cancer Genomics Data Sets Dongyan Yan, Eli Lilly and Company
1:50 PM	A Joint Approach to Screening High-Dimensional Meditators in Epigenetic Data with Repeated Outcomes Lu Xie, University of Memphis; Hongmei Zhang, University of Memphis; Meredith Ray, University of Memphis; Cen Wu, Kansas State University; Yu Jiang, University of Memphis
1:55 PM	Association Test Using Copy Number Profile Curves (CONCUR) Enhances Power in Rare Copy Number Variant Analysis Amanda Brucker, Duke University; Jung-Ying Tzeng, North Carolina State University; Wenbin Lu, North Carolina State University; Rachel Marceau West, North Carolina State University; Qi-You Yu, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University; Tzu-Hung Hsiao, Taichung Veterans General Hospital; Ching-Heng Lin, Taichung Veterans General Hospital; Patrik K. E. Magnusson, Karolinska Institutet; Patrick F Sullivan, University of North Carolina at Chapel Hill; Jin P. Szatkiewicz, University of North Carolina at Chapel Hill; Tzu-Pin Lu, National Taiwan University
2:00 PM	Detecting Cell-Type-Specific Mediation Effect in DNA Methylation Data Andrea Lane, Emory University; Hao Wu, Emory University
2:05 PM	A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures Shelby Bell-Glenn, Univerisity of Kansas Medical Center Department of Biostatistics and Data Science; Devin C Koestler, University of Kansas Medical Center
2:10 PM	Integrating Genomic Correlation Structure Improves Copy Number Variations Detection Xizhi Luo, University of South Carolina; Fei Qin, University of South Carolina; Guoshuai Cai, University of South Carolina; Feifei Xiao, University of South Carolina
2:15 PM	Integrating SNP Data and Imputation Methods into the DNA Methylation Analysis Framework Yuqing Su, Missouri University of Science and Technology; Gayla Olbricht, Missouri University of Science and Technology
2:20 PM	Genetic Correlation Between Major Depression and Objectively Assessed Sleep Features in a Community Cohort from Lausanne, Switzerland Wei Guo, National Institutes of Health; Sun J Kang, National Institutes of Health; Giorgio Pistis, Lausanne University Hospital and University of Lausanne ; Lihong Cui, NIMH; Andrew Leroux, University of Colorado Anschutz Medical Campus; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Martin Preisig, University Hospital of Lausanne; Kathleen Merikangas, National Institute of Mental Health
2:30 PM	Statistical Modeling and Analysis of Human DNA Methylation Data to Detect Differential Methylation in Osteosarcoma Sujay Datta, University of Akron
2:35 PM	Multi-Omics Data Integration Using a Supervised Cox Multiblock PLS (Cox-SMBPLS) Model Incorporating Prior Biological Information Nasim Vahabi, University of Florida; George Michailidis, U Florida; Julio Duarte, University of Florida
2:40 PM	Evaluating Dimensionality Reduction for Genomic Prediction Presentation Vamsi Manthena, University of Nebraska - Lincoln; Rajeev K Varshney, Center of Excellence in Genomics & Systems Biology; Diego Jarquin, University of Nebraska - Lincoln; Reka Howard, University of Nebraska - Lincoln
2:45 PM	A Robust Analysis of Linear Methods for Phenotype Prediction Megan Duff, University of Colorado Denver
2:50 PM	Hidden Markov Models with Block-Wise Mixtures as Emission Distributions Ruijin Lu, National Institutes of Health; Zhen Chen, NICHD/NIH
2:55 PM	Combining Multiple Biomarkers Linearly to Minimize the Euclidean Distance of the Closest Point on the ROC Surface to the Perfection Corner in Trichotomous Settings Brian R Mosier, University of Kansas Medical Center; Leonidas E Bantis, University of Kansas Medical Center
3:00 PM	Inferences for the Correct Classification Fractions of a Continuous Biomarker in Trichotomous Settings with an Application to Patients with Hepatocellular Carcinoma Peng Shi, University of Kansas Medical Center; Leonidas E Bantis, University of Kansas Medical Center
3:05 PM	CliP: subclonal architecture reconstruction of cancer cells in DNA sequencing data using a penalized likelihood model Yujie Jiang, The University of Texas MD Anderson Cancer Center & Rice University

3:10 PM	Floor Discussion

244	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Statistical methods for microbiome data analysis and beyond — Contributed Speed
Section on Statistics in Genomics and Genetics
Chair(s): Amy Pan, Medical College of Wisconsin
10:05 AM	Fast Search Algorithms for Identifying Dynamic Gene Coexpression via Bayesian Variable Selection Wenda Zhang, University of South Carolina; Lianming Wang, University of South Carolina; Yen-Yi Ho, University of South Carolina; Daping Fan, University of South Carolina School of Medicine
10:10 AM	Detecting Allele-Specific Expression and Alterations of Allele-Specific Expression by a Bivariate Bayesian Hidden Markov Model Jing Xie, University of Missouri- Columbia
10:15 AM	Significant Gene Array Analysis and Cluster-Based Modeling for Disease Class Prediction Myrine A. Barreiro-Arevalo, The University of Texas Rio Grande Valley; Hansapani Rodrigo, The University of Texas Rio Grande Valley
10:20 AM	Batch Effect Reduction of Microarray Data with Dependent Samples Using an Empirical Bayes Approach (BRIDGE) Qing Xia, Department of Biostatistics & Data Science, University of Kansas Medical Center; Jeffrey Thompson, Department of Biostatistics & Data Science, University of Kansas Medical Center; Devin C Koestler, University of Kansas Medical Center
10:25 AM	Integrating Gene Expression, Spatial Location, and Histology to Identify Spatial Domains and Spatially Variable Genes by Graph Convolutional Network Jian Hu, University of Pennsylvania
10:30 AM	Volatility Tests for the Human Microbiome Anna Plantinga, Williams College
10:35 AM	A Two-Part Linear Mixed Model with Shared Random Effects for Longitudinal Microbiome Compositional Data Yongli Han, National Cancer Institute/National Institutes of Health; Danping Liu, National Cancer Institute/National Institutes of Health; Jianxin Shi, National Cancer Institute/National Institutes of Health; Emily Vogtmann, National Cancer Institute/National Institutes of Health; Courtney Baker, University of North Carolina at Chapel Hill; Xing Hua, Fred Hutchison Cancer Research Center
10:40 AM	Multiple Testing Problems in Microbiome Data Jung Ae Lee, University of Arkansas
10:45 AM	Identifying Bugs Over Time: A Method Comparison for Association Tests in Longitudinal Microbiome Data Nicholas E Weaver, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver; Brandie D Wagner, Colorado School of Public Health-Biostatistics and Informatics
10:50 AM	Using Statistical Averages to Improve Similarity Search of Large DNA Molecules to the Human Genome Albertas Dvirnas, Lund University
11:00 AM	A Comparison of Selection Identification Methods in Viral Genomes Using a Range of Statistical Techniques Carly Elizabeth Middleton, The Ohio State University; Laura Kubatko, The Ohio State University
11:05 AM	Separating and Re-Integrating Latent Variables for Improved Classification of Large-Scale Genomic Data Yujia Pan, University of Michigan; Johann Gagnon-Bartsch, University of Michigan
11:10 AM	Choice of Significance Level in a Community Detection Algorithm Riddhi Pratim Ghosh, University of Pennsylvania; Ian Barnett, University of Pennsylvania
11:15 AM	MeningiOMICS: A Web-Based Meningioma 'Omics' Data Analysis and Visualization Tool Using R Shiny Kaitlyn Lucrezia O'Shea, Northwestern University, Feinberg School of Medicine, Department of Preventive Medicine; Anh Tran, Northwestern University, Feinberg School of Medicine, Department of Neurological Surgery; Craig Horbinski, Northwestern University, Feinberg School of Medicine, Department of Pathology; Denise Scholtens, Northwestern University, Feinberg School of Medicine, Department of Preventive Medicine
11:20 AM	Statistical Modeling for Radiogenomics Study Tiantian Zeng, University of Kentucky; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky
11:25 AM	Microbiome Multi-Omics Integration Using Compositional Reduced Rank Regression for Relative Abundance Data Chenxiao Hu, Oregon State University; Duo Jiang, Oregon State University
11:30 AM	Dimension Reduction for Longitudinal Microbiome Data Siyuan Ma, Harvard T. H. Chan School of Public Health; Hongzhe Li, University of Pennsylvania
11:35 AM	Statistical Analysis of Longitudinal Microbiome Data Amy Pan, Medical College of Wisconsin; Vy Lam, PITA Analytics; Samantha N. Atkinson, Medical College of Wisconsin; Nita Salzman, Medical College of Wisconsin; L Silvia Munoz-Price, Medical College of Wisconsin
11:40 AM	TimeNorm: A Novel Normalization Method for Time Course Microbiome Data Qianwen Luo, University of Arizona; Meng Lu, University of Arizona; Nicholas Lytal, University of Arizona; Lingling An, University of Arizona

308	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Methods for Studying Spatial Transcriptomics, Tissue Heterogeneity, and Pleiotropy — Topic-Contributed Papers
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association
Organizer(s): Xiaoyu Song, Icahn School of Medicine at Mount Sinai
Chair(s): Xiaoyu Song, Icahn School of Medicine at Mount Sinai
3:35 PM	Nonparametric Modeling Enables Scalable and Robust Detection of Spatial Expression Patterns for Large Spatial Transcriptomic Studies Xiang Zhou, University of Michigan
3:55 PM	Unsupervised Gene Selection for Predicting Cell Spatial Positions in the Drosophila Embryo Yang Chen, University of Massachusetts, Amherst; Disheng Mao, University of Connecticut; Yuping Zhang, University of Connecticut; Zhengqing Ouyang, University of Massachusetts, Amherst
4:15 PM	Learning Directed Acyclic Graphs for Ligands and Receptors Based on Spatially Resolved Transcriptomic Analysis of Ovarian Cancer SHRABANTI CHOWDHURY, Icahn school of Medicine at Mount Sinai; Sammy Ferri-Borgogno, MD Anderson Cancer Center; Peng Yang, University of Texas MD Anderson Cancer Center; Jie Peng, University of California Davis; Wenyi Wang, University of Texas MD Anderson Cancer Center; Samuel Mok, MD Anderson Cancer Center; Pei Wang, Icahn school of Medicine at Mount Sinai
4:35 PM	Tumor Cell Total MRNA Expression Shapes the Molecular and Clinical Phenotype of Cancer Shaolong Cao, University of Texas MD Anderson Cancer Center; Jennifer Rui Wang, University of Texas MD Anderson Cancer Center; Shuangxi Ji, University of Texas MD Anderson Cancer Center; Peng Yang, University of Texas MD Anderson Cancer Center; Jonas Demeulemeester, KU Leuven; Peter Van Loo, The Francis Crick Institute; Wenyi Wang, University of Texas MD Anderson Cancer Center
4:55 PM	Mendelian Randomization That Accounts for LD and Correlated Horizontal Pleiotropy Jin Liu, Duke-NUS Medical School, Health Service & Systems Research
5:15 PM	Floor Discussion

415	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Recent advancements in the analysis of large-scale GWAS — Contributed Speed
Section on Statistics in Genomics and Genetics
Chair(s): Zhengqing Ouyang, University of Massachusetts, Amherst
2:05 PM	New Selection Probability Computation to Identify Pleiotropic Variants Associated with Both Quantitative and Qualitative Traits Kipoong Kim, Pusan National University; Hokeun Sun, Pusan National University
2:10 PM	Bayestrat: Population Stratification Correction Using Bayesian Shrinkage Priors for Genetic Association Studies Zilu Liu, The Ohio State University; Asuman Seda Turkmen, The Ohio State University; Shili Lin, The Ohio State University
2:15 PM	An Adaptive Multivariate Kernel-Based Test for Association with Multiple Quantitative Traits in High-Dimensional Data Tao He, San Francisco State University; Brian Neal, San Francisco State University
2:20 PM	A Statistical Perspective on Baseline Adjustment in Pharmacogenomic Genome-Wide Association Studies of Quantitative Change Judong Shen, Merck & Co. Inc.; Hong Zhang, Merck & Co., Inc.; Aparna Chhibber, BMS; Peter M. Shaw, Merck & Co. Inc.; Devan V Mehrotra, Merck & Co., Inc.
2:25 PM	Aggregating Across Genes and Cancers in Mendelian Risk Prediction Modeling Jane W. Liang, Harvard T.H. Chan School of Public Health; Giovanni Parmigiani, Harvard University; Danielle Braun, Harvard T.H. Chan School of Public Health, Dana-Farber Cancer Institute
2:30 PM	A Unified Approach to Robust Inference for Genetic Covariance Jianqiao Wang, UNIVERSITY OF PENNSYLVANIA
2:35 PM	Probabilistic Models of Natural Selection in the Human Genome Lauren Sugden, Duquesne University
2:40 PM	Knowledge Transfer with False Negative Control Improves the Accuracy of Polygenic Prediction Yifei Hu, North Carolina State University; Xinge Jessie Jeng, North Carolina State University
2:45 PM	Testing Causality of Variants Using Summary Association Statistics Donghyung Lee, Miami University
2:50 PM	RAREsim: A Simulation Method for Very Rare Genetic Variants Megan Null, The College of Idaho; Josée Dupuis, Boston University; Christopher R Gignoux, University of Colorado Anschutz Medical Campus; Audrey E Hendricks, University of Colorado Denver
3:00 PM	Hardy-Weinberg Equilibrium Test Accounting for Population Structure and Relatedness Derek Shyr, Harvard T.H. Chan School of Public Health; Rounak Dey, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard T.H. Chan School of Public Health
3:05 PM	'… You Built a Time Machine ... Out of a DeLorean?!' Integrating Past, Present, and Future Studies of Complex Disease in Rodent Populations Using Multi-Trait Meta-Analyses Robyn L Ball, The Jackson Laboratory; Vivek M Philip, The Jackson Laboratory; Jake Emerson, The Jackson Laboratory; Molly Bogue, The Jackson Laboratory; Elissa J Chesler, The Jackson Laboratory
3:10 PM	Nonparametric Bounds in Two-Sample Summary-Data Mendelian Randomization: Some Cautionary Tales for Practice Ralph Møller Trane, University of Wisconsin--Madison; Hyunseung Kang, University of Wisconsin-Madison
3:15 PM	Benchmarking Gene Set Analysis Methods: Working with Individual-Level Data from the Full Sample, or a Clever Way to Combine Summary Statistics? Olga Vsevolozhskaya, University of Kentucky; Xiaoran Tong, NIEHS/NIH; Dmitri .V Zaykin, NIEHS
3:20 PM	A Multi-Tissue, Multi-Trait Model for Omics Data Samantha Lent, Boston University; Ching-Ti Liu, Boston University; Marie-France Hivert, Harvard Medical School; Josée Dupuis, Boston University
3:25 PM	GWAS.BAYES: Bayesian stochastic search for GWAS analysis Jacob Williams, Virginia Polytechnic Institute and State University; Marco May Ferreira, Virginia Tech Department of Statistics; Tieming Ji, University of Missouri
3:30 PM	Evaluation of Rare Variant Association Methods When Incorporating External Controls Presentation Jessica Murphy, University of Colorado Denver; Megan Null, The College of Idaho; Christopher R Gignoux, University of Colorado Anschutz Medical Campus; Audrey E Hendricks, University of Colorado Denver
3:35 PM	Using Method of Moments Variance Components Estimation for Scalable Genetic Linkage Analysis in Population Cohorts Presentation Gregory JM Zajac, University of Michigan; Goncalo R Abecasis, University of Michigan
3:40 PM	Summix: A Method for Detecting and Adjusting for Population Structure in Genetic Summary Data Ian S. Arriaga-MacKenzie, University of Colorado Denver; Gregory Matesi, University of Colorado Denver; Samuel Chen, University of Colorado Denver; Alexandria Ronco, University of Colorado Denver; Katie M. Marker, University of Colorado Anschutz Medical Campus; Jordan R. Hall, University of Colorado Denver; Ryan Scherenberg, University of Colorado Denver; Mobin Khajeh-Sharafabadi, University of Colorado Denver; Yinfei Wu, University of Colorado Denver; Christopher R Gignoux, University of Colorado Anschutz Medical Campus; Megan Null, The College of Idaho; Audrey E Hendricks, University of Colorado Denver
3:45 PM	A Fast and Powerful Linear Mixed Model Approach for Genotype-Environment Interaction Tests in Large-Scale GWAS Wujuan Zhong, Merck & Co., Inc.; Judong Shen, Merck & Co. Inc.

432 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Novel Statistical Methods for Microbiome Data Analysis — Topic-Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Xiang Zhan , Penn State University
Chair(s): Arun Srinivasan, Penn State University
4:05 PM	Controlled Microbiome Variable Selection Analysis Xiang Zhan , Penn State University; Arun Srinivasan, Penn State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
4:25 PM	Corncob: Statistical Modeling of Microbial Abundances and Dysbiosis with Beta-Binomial Regression Bryan D Martin, University of Washington; Daniela Witten, University of Washington; Amy D Willis, University of Washington
4:45 PM	Meta-Analysis of Microbiome Studies for Selecting Disease-Associated Microbial Signatures ZhengZheng Tang, University of Wisconsin-Madison
5:05 PM	Rarefaction-Based Extensions of the LDM and PERMANOVA for Testing Presence-Absence Associations in the Microbiome Yijuan Hu, Emory University; Andrea Lane, Emory University; Glen Satten, Emory University
5:25 PM	Dimension Reduction of Longitudinal Microbiome Data via Tensor Functional SVD Pixu Shi, Duke University; Rungang Han, University of Wisconsin-Madison; Anru Zhang, Duke University
5:45 PM	Floor Discussion

JSM 2021 Online Program

Activity Details

American Statistical Association