Name: 2022 Joint Statistical Meetings
Start: 2022-08-06T07:00:00+00:00
End: 2022-08-11
Location: Walter E. Washington Convention Center

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CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme

Activity Details

5 *	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-201
Innovations in Digital Pathology and Spatial Transcriptomics: Statistical Challenges and Major Impacts — Invited Papers
International Chinese Statistical Association, Biometrics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Himel Mallick, Merck Research Laboratories
Chair(s): Richard Baumgartner, Merck Research Laboratories
2:05 PM	Multi-Scale and Multi-Sample Analysis Enables Accurate Cell Type Clustering and Spatial Domain Detection in Spatial Transcriptomics Zheng Li, University of Michigan; Xiang Zhou, University of Michigan
2:25 PM	IHC Guided Deep Learning Myeloid Cell Detection Model Using HandE Data Jeong Hwan Kook, Merck Research Laboratories
2:45 PM	Bayesian Modeling of Spatial Molecular Profiling Data Qiwei Li, The University of Texas at Dallas; Xi Jiang, Southern Methodist University; Minzhe Zhang, The University of Texas Southwestern Medical Center; Guanghua Xiao, The University of Texas Southwestern Medical Center
3:05 PM	A User-Friendly Tool for Cloud-Based, Whole-Slide Image Segmentation with Applications to Renal Histopathology Pinaki Sarder, University at Buffalo
3:25 PM	Biomarker Discovery in Spatial Transcriptomics and Digital Pathology Himel Mallick, Merck Research Laboratories
3:45 PM	Floor Discussion

21 *	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-203AB
Advances of Statistical Methodologies in Proteogenomic Research — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, International Indian Statistical Association
Organizer(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
Chair(s): Pei Wang, Icahn school of Medicine at Mount Sinai
2:05 PM	Multilevel Modeling Accounts for Diverse Sources of Variation in Proteomic Experiments with Complex Designs Olga Vitek, Northeastern University
2:25 PM	DAGBagM: Learning Directed Acyclic Graphs of Mixed Variables with an Application to Identify Protein Biomarkers for Treatment Response in Ovarian Cancer Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Ru Wang, University of California Davis; Jie Peng, University of California Davis; Pei Wang, Icahn school of Medicine at Mount Sinai
2:45 PM	BayesDeBulk: A Flexible Bayesian Algorithm for the Deconvolution of Bulk Tumor Data Francesca Petralia, Icahn School of Medicine at Mount Sinai
3:05 PM	HID Machine: A Random Forest-Based High Order Interaction Discovery Method for High-Dimensional Genomic Data Min Lu, University of miami; Yifan Sha, University of Miami; Xi Steven Chen, University of miami
3:25 PM	Modeling Genomic and Proteomic Signals for the Early Detection of Cancer Steven James Skates, Massachusetts General Hospital; Yiling Liu, Massachusetts General Hospital; Wenqing Jiang, Boston University School of Public Health; Bethan Powell, Kaiser-Permanente Northern California; Scott Lenttz, Kaiser-Permanente Southern California
3:45 PM	Floor Discussion

28	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-140B
SPEED: Statistical Computing and Statistics in Genomics Part 1 — Contributed Speed
Section on Statistical Computing, Section for Statistical Programmers and Analysts, Section on Statistical Graphics, Section on Statistics in Genomics and Genetics
Chair(s): Perla Reyes, Kansas State Universtiy
2:05 PM	Racial Disparity in County-Level Low-Income Job Loss Rate During the COVID-19 Pandemic Zhenyu Xu, University of Connecticut; Anthony Zeimbekakis, University of Connecticut; Jun Yan, University of Connecticut
2:10 PM	Using the MiniMax Statistic to Integrate Partially Matched Multi-Omics Data Gabriel J. Odom, Florida International University; Antonio Colaprico, University of Miami; Tiago Silva, University of Miami; Xi Steven Chen, University of miami; Lily Wang, University of Miami
2:15 PM	Bayesian Hyperbolic Multi-Dimensional Scaling Bolun Liu, Departments of Statistics, University of Washington; Tyler McCormick, University of Washington; Adrian E. Raftery, University of Washington; Shane Lubold, University of Washington
2:20 PM	Correlation Testing for Inhomogeneous Random Graphs Yukun Song, North Carolina State University; Minh Tang, North Carolina State University
2:25 PM	High-Dimensional Nonlinear Spatio-Temporal Filtering Using Hierarchical Sparse Cholesky Factors Anirban Chakraborty, Texas A&M University; Matthias Katzfuss, Texas A&M University
2:30 PM	Functional Priors for Bayesian Deep Learning Ba-Hien Tran, EURECOM; Simone Rossi, EURECOM; Dimitrios Milios, EURECOM; Pietro Michiardi, EURECOM; Maurizio Filippone, EURECOM
2:35 PM	Uncertainty in Regridding for Statistical Downscaling of Solar Radiation Maggie Bailey, Colorado School of Mines; Soutir Bandyopadhyay, Colorado School of Mines; Douglas Nychka, Colorado School of Mines
2:40 PM	Using Krylov Subspace Methods for Large Scale Image Source Separation Simon P Wilson, Trinity College Dublin; Dung P Pham, Trinity College Dublin; Kirk P Soodhalter, Trinity College Dublin
2:45 PM	Visualizing Bivariate Statistics Using Ellipses Over a Scatter Plot Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis; Mamunur Rashid, DePauw University; Siddhanta Phuyal, DePauw University
2:50 PM	Bioinformatic Investigation of Zic Family of Transcription Factors in the Mature Cerebellum Melyssa S Minto, Duke University
3:00 PM	Finding Significant Communities in Cross-Correlation Networks Derived from Multi-View Data Miheer Ulhas Dewaskar, Duke University
3:05 PM	Detection of Fine-Scale Population Structure in Genetic Summary Data with Summix Adelle Price, University of Colorado Denver; Katie Marker, University of Colorado Anschutz Medical Campus; Audrey Hendricks, University of Colorado Denver
3:10 PM	A New Functional F-Statistic for Gene-Based Inference Involving Multiple Phenotypes Adam Joseph Dugan, 23andMe, Inc.; Olga Vsevolozhskaya, University of Kentucky
3:15 PM	Novel Taxa-Specific Normalization Method for Microbiome Sequencing Count Data Ziyue Wang, NIH/National Institute of Environmental Health Sciences; Alison Motsinger-Reif, NIH/National Institute of Environmental Health Sciences; Shanshan Zhao, NIH/ National Institute of Environmental Health Sciences
3:20 PM	Adjusting for Covariates in the Visualization of High-Dimensional Data Angela Zhang, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center
3:25 PM	Flexible Non-Parametric Tests of Sample Exchangeability and Feature Independence Alan Aw, University of California, Berkeley; Yun Song, University of California, Berkeley; Jeffrey Spence, Stanford University
3:30 PM	Demographic Profile and Factors of Homeownership Disparity in the United States Rachel Richardson, Pacific Northwest National Laboratory - Battelle; David Degnan, Pacific Northwest National Laboratory - Battelle; Anastasiya Prymolenna, Pacific Northwest National Laboratory - Battelle; Natalie Winans, Pacific Northwest National Laboratory - Battelle; Lisa Bramer, Pacific Northwest National Laboratory - Battelle
3:35 PM	An Analysis on the Impact of Socioeconomic Status on Success in School Alyson Everett, Miami University; Thomas Fisher, The University of Miami - Ohio

3:40 PM	Floor Discussion

52 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-204B
Contrastive Dimension Reduction: Exploring Differential Patterns in High-Dimensional Data — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistics in Genomics and Genetics, International Society for Bayesian Analysis (ISBA)
Organizer(s): Andrew Jones, Princeton University
Chair(s): Didong Li, Princeton University
4:05 PM	Exploring Patterns Enriched in a Data Set with Contrastive Principal Component Analysis Abubakar Abid, Stanford; James Zou, Stanford University
4:25 PM	Exploring High-Dimensional Biological Data with Sparse Contrastive Principal Component Analysis Philippe Boileau, University of California, Berkeley; Nima S Hejazi, Weill Cornell Medicine; Sandrine Dudoit, University of California, Berkeley
4:45 PM	Probabilistic Models for Contrastive Dimension Reduction with Applications to Sequencing Data Andrew Jones, Princeton University; Barbara E. Engelhardt, Princeton University
5:05 PM	Floor Discussion

70 !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-140A
Novel Approaches for Omics and Multi-Omics Analysis — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Xihao Li, Harvard T.H. Chan School of Public Health
4:05 PM	Alignment-Free Integrative Cell-Cell Communication Inference Using a Gaussian Process Model Yi Wang, Johns Hopkins University; Kasper Daniel Hansen, Johns Hopkins University
4:20 PM	JOnTAD: Joint Hierarchical TAD Caller for High Resolution, Single Cell and Bulk Cell Hi-C Data Qiuhai Zeng, Pennsylvania State Univeristy; Qunhua Li, Pennsylvania State University
4:35 PM	Fold Change Estimation Variation in MicroRNA Data with Application to an Environmentally Exposed Residential Cohort Christina Pinkston, University of Louisville; Shesh Rai, University of Louisville
4:50 PM	Polygenic Transcriptome Risk Scores Improve Cross-Ancestry Portability of Risk Prediction for Pulmonary Function in the NHLBI Trans-Omics for Precision Medicine Program Xiaowei Hu, University of Virginia; Dandi Qiao, Channing Division of Network Medicine, Brigham and Women's Hospital; Wonji Kim, Channing Division of Network Medicine, Brigham and Women's Hospital; Matthew Moll, Channing Division of Network Medicine, Brigham and Women's Hospital; Pallavi P Balte, Columbia University; Leslie A Lange, School of Medicine Anschutz Medical Campus, University of Colorado ; Traci M Bartz, University of Washington; Rajesh Kumar, Division of Allergy and Clinical Immunology, Ann and Robert H. Lurie Children's Hospital; Xingnan Li, University of Arizona; Bing Yu, Human Genetics Center, The University of Texas Health Science Center at Houston; Brian E Cade, Harvard Medical School; Cecelia A Laurie, University of Washington; Tamar Sofer, Harvard Medical School; Ingo Ruczinski, Johns Hopkins Bloomberg School of Public Health; Deborah A Nickerson, University of Washington; Donna M Muzny, The Human Genome Sequencing Center, Baylor College of Medicine; Ginger A Metcalf, The Human Genome Sequencing Center, Baylor College of Medicine; Harshavardhan Doddapaneni, The Human Genome Sequencing Center, Baylor College of Medicine; Stacy Gabriel, Broad Institute of MIT and Harvard; Namrata Gupta, Broad Institute of MIT and Harvard; Shannon Dugan-Perez, The Human Genome Sequencing Center, Baylor College of Medicine; L Adrienne Cupples, Boston University School of Public Health; Laura R Loehr, University of North Carolina; Deepti Jain, University of Washington; Jerome I. Rotter, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center; James G Wilson, Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center; Bruce M Psaty, Cardiovascular Health Research Unit, University of Washington; Myriam Fornage, Human Genetics Center, The University of Texas Health Science Center at Houston; Alanna C Morrison, Human Genetics Center, The University of Texas Health Science Center at Houston; Vasan S Ramachandran, Boston University and the National Heart Lung and Blood Institute’s Framingham Heart Study; George Washko, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital; Stephen S Rich, Center for Public Health Genomics, University of Virginia; George T O’Connor, Boston University; Eugene Bleecker, University of Arizona; Robert C Kaplan, Albert Einstein College of Medicine; Ravi Kalhan, Feinberg School of Medicine, Northwestern University; Susan Redline, Harvard Medical School; Sina A Gharib, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington; Deborah Meyers, University of Arizona; Victor Ortega, Pulmonary and Critical Care, School of Medicine, Wake Forest University; Josée Dupuis, Boston University School of Public Health; Stephanie J London, National Institutes of Health; Tuuli Lappalainen, New York Genome Center; Elizabeth C Oelsner, Columbia University; Edwin K Silverman, Channing Division of Network Medicine, Brigham and Women's Hospital; R Graham Barr, Columbia University; Timothy A Thornton, University of Washington; Heather E Wheeler, Loyola University Chicago; Michael H Cho, Channing Division of Network Medicine, Brigham and Women's Hospital; Hae Kyung Im, Section of Genetic Medicine, The University of Chicago; Ani Manichaikul, University of Virginia
5:05 PM	Spatial IMIX: A Mixture Model Approach to Spatially Correlated Multi-Omics Data Integration Ziqiao Wang, Eli Lilly and Company; The University of Texas MD Anderson Cancer Center; Peng N/A Wei, The University of Texas MD Anderson Cancer Center
5:20 PM	FiBAG: Functional Integrative Bayesian Analysis of High-Dimensional Multiplatform Genomic Data Presentation Rupam Bhattacharyya, University of Michigan; Nicholas Henderson, University of Michigan; Veera Baladandayuthapani, University of Michigan
5:35 PM	Tilted-CCA: Quantifying Common and Distinct Information in Jointly-Sequenced Multiomic Single-Cell Data Kevin Lin, University of Pennsylvania; Nancy R Zhang, University of Pennsylvania

73	Sun, 8/7/2022, 5:05 PM - 5:50 PM	CC-Hall D
SPEED: Statistical Computing and Statistics in Genomics Part 2 — Contributed Poster Presentations
Section on Statistical Computing, Section for Statistical Programmers and Analysts, Section on Statistical Graphics, Section on Statistics in Genomics and Genetics
Chair(s): Perla Reyes, Kansas State Universtiy
01:	Racial Disparity in County-Level Low-Income Job Loss Rate During the COVID-19 Pandemic Zhenyu Xu, University of Connecticut; Anthony Zeimbekakis, University of Connecticut; Jun Yan, University of Connecticut
02:	Using the MiniMax Statistic to Integrate Partially Matched Multi-Omics Data Gabriel J. Odom, Florida International University; Antonio Colaprico, University of Miami; Tiago Silva, University of Miami; Xi Steven Chen, University of miami; Lily Wang, University of Miami
03:	Bayesian Hyperbolic Multi-Dimensional Scaling Bolun Liu, Departments of Statistics, University of Washington; Tyler McCormick, University of Washington; Adrian E. Raftery, University of Washington; Shane Lubold, University of Washington
04:	Correlation Testing for Inhomogeneous Random Graphs Yukun Song, North Carolina State University; Minh Tang, North Carolina State University
05:	High-Dimensional Nonlinear Spatio-Temporal Filtering Using Hierarchical Sparse Cholesky Factors Anirban Chakraborty, Texas A&M University; Matthias Katzfuss, Texas A&M University
06:	Functional Priors for Bayesian Deep Learning Ba-Hien Tran, EURECOM; Simone Rossi, EURECOM; Dimitrios Milios, EURECOM; Pietro Michiardi, EURECOM; Maurizio Filippone, EURECOM
07:	Uncertainty in Regridding for Statistical Downscaling of Solar Radiation Maggie Bailey, Colorado School of Mines; Soutir Bandyopadhyay, Colorado School of Mines; Douglas Nychka, Colorado School of Mines
08:	Using Krylov Subspace Methods for Large Scale Image Source Separation Simon P Wilson, Trinity College Dublin; Dung P Pham, Trinity College Dublin; Kirk P Soodhalter, Trinity College Dublin
09:	Visualizing Bivariate Statistics Using Ellipses Over a Scatter Plot Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis; Mamunur Rashid, DePauw University; Siddhanta Phuyal, DePauw University
10:	Bioinformatic Investigation of Zic Family of Transcription Factors in the Mature Cerebellum Melyssa S Minto, Duke University
11:	Finding Significant Communities in Cross-Correlation Networks Derived from Multi-View Data Miheer Ulhas Dewaskar, Duke University
12:	Detection of Fine-Scale Population Structure in Genetic Summary Data with Summix Adelle Price, University of Colorado Denver; Katie Marker, University of Colorado Anschutz Medical Campus; Audrey Hendricks, University of Colorado Denver
13:	A New Functional F-Statistic for Gene-Based Inference Involving Multiple Phenotypes Adam Joseph Dugan, 23andMe, Inc.; Olga Vsevolozhskaya, University of Kentucky
14:	Novel Taxa-Specific Normalization Method for Microbiome Sequencing Count Data Ziyue Wang, NIH/National Institute of Environmental Health Sciences; Alison Motsinger-Reif, NIH/National Institute of Environmental Health Sciences; Shanshan Zhao, NIH/ National Institute of Environmental Health Sciences
15:	Adjusting for Covariates in the Visualization of High-Dimensional Data Angela Zhang, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center
16:	Flexible Non-Parametric Tests of Sample Exchangeability and Feature Independence Alan Aw, University of California, Berkeley; Yun Song, University of California, Berkeley; Jeffrey Spence, Stanford University
17:	Demographic Profile and Factors of Homeownership Disparity in the United States Rachel Richardson, Pacific Northwest National Laboratory - Battelle; David Degnan, Pacific Northwest National Laboratory - Battelle; Anastasiya Prymolenna, Pacific Northwest National Laboratory - Battelle; Natalie Winans, Pacific Northwest National Laboratory - Battelle; Lisa Bramer, Pacific Northwest National Laboratory - Battelle
18:	An Analysis on the Impact of Socioeconomic Status on Success in School Alyson Everett, Miami University; Thomas Fisher, The University of Miami - Ohio

83	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-143B
Frontiers in Analysis of Microbiome Data: From Methods to Applications — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Yijuan Hu, Emory University
Chair(s): Yijuan Hu, Emory University
8:35 AM	Tensor Reduced-Rank Regression with Incomplete Observations, with Application to Longitudinal Microbiome Analysis Gen Li, University of Michigan
9:00 AM	Effects of Differential Microbiome Volatility on Longitudinal Association Tests Anna Plantinga, Williams College; Daniel Park, Roivant Sciences
9:25 AM	Analysis of Microbiomes Associated with COVID-19 Diagnostic Testing Swabs with Respect to Disease Status and Severity Alexander V. Alekseyenko, Medical University of South Carolina
9:50 AM	Microbial Trend Analysis in Longitudinal Microbiome Study Huilin Li, New York University; Chan Wang, New York University
10:15 AM	Floor Discussion

86 *	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-151B
New Topics and Methodological Developments for Single-Cell Data Science — Invited Papers
Section on Statistics in Genomics and Genetics, WNAR, ENAR
Organizer(s): Jingshu Wang, The University of Chicago
Chair(s): Jingshu Wang, The University of Chicago
8:35 AM	Spatially Informed Cell-Type Deconvolution for Spatial Transcriptomics Xiang Zhou, University of Michigan; Ying Ma, University of Michigan
9:00 AM	A Distribution-Free Independence Test for High-Dimensional Data Jing Lei, Carnegie Mellon University; Zhanrui Cai, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
9:25 AM	Harnessing Multimodal Single-Cell Sequencing Data for Integrative Analysis with Cobolt Elizabeth Purdom, UC Berkeley; Boying Gong, UC Berkeley; Yun Zhao, UC Berkeley
9:50 AM	Statistical Analysis of Single Cell CRISPR Screens Presentation Eugene Katsevich, University of Pennsylvania; Timothy Barry, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University; Xuran Wang, Carnegie Mellon University; John Morris, New York Genome Center
10:15 AM	Floor Discussion

107	Mon, 8/8/2022, 8:30 AM - 10:20 PM	CC-140A
SPEED: Statistical Methods, Computing, and Applications Part 1 — Contributed Speed
International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistical Computing, Section on Statistics in Defense and National Security, Section on Statistics in Genomics and Genetics, WNAR
Chair(s): Rui Xie, University of Central Florida
8:35 AM	The Role of Berkson Paradox in Significance Testing Miodrag Lovric, Radford University
8:40 AM	The growclusters Package for R Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance D Savitsky, U.S. Bureau of Labor Statistics
8:45 AM	Analysis of Accelerometer Data from NHANES Database Using Fréchet Single Index Model Aritra Ghosal , University of California, Santa Barbara ; Wendy Meiring , University of California Santa Barbara ; Alexander Petersen, Brigham Young University; Marcos Matabuena , University of Santiago de Compostela
8:50 AM	Double Sampling for Informative Coarsening: Considerations for Bias Reduction and Efficiency Gain Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
8:55 AM	Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies Lynda Aouar, University of Northern Colorado
9:00 AM	A Comparison of Regression Discontinuity Effect Estimation for Small Samples Daryl Swartzentruber, The Ohio State University; Eloise E Kaizar, The Ohio State University
9:05 AM	Reliability for Binary and Ordinal Data in Forensics Hina Arora, University of California Irvine; Naomi Kaplan-Damary, Hebrew University; Hal S. Stern, University of California-Irvine
9:10 AM	Approaching Supersaturated Screening as a Pilot Experiment Michael McKibben, NCSU; Jonathan Stallrich, North Carolina State University
9:15 AM	Bayesian Modeling of Spatial Molecular Profiling Data at the Single-Cell Level Jie Yang, The University of Texas at Dallas; Sunyoung Shin, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
9:20 AM	W-BETEL: Bayesian Exponentially Tilted Empirical Likelihood with Parametric Restriction via a Modified Wasserstein Metric Abhisek Chakraborty, Texas A & M University; Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University
9:30 AM	Interpretable Modeling of Genotype-Phenotype Landscapes with State-of-the-Art Predictive Power Peter Tonner, National Institute of Standards and Technology; David Ross, National Institute of Standards and Technology; Abe Pressman, National Institute of Standards and Technology
9:35 AM	Cybersecurity and Infrastructure Security Agency Enterprise Conceptual Data Model Swami Natarajan, The MITRE Corporation
9:40 AM	MCMC-CE: A Novel Approach for Accurate Estimation of the Distributions of Large Quadratic Forms of Normal Variables Bich Na Choi, Medical College of Georgia, Augusta University; Yang Shi, Augusta University
9:50 AM	Bayesian Iterative Conditional Stochastic Search (BICOSS) for GWAS Jacob Williams, Virginia Polytechnic Institute and State University; Marco Ferreira, Virginia Tech
9:55 AM	A Statistical Framework for Deepfake Detection Shannon Gallagher, Software Engineering Institute, Carnegie Mellon University; Catherine Bernaciak, Software Engineering Institute, Carnegie Mellon University; Jeffrey Mellon, Software Engineering Institute, Carnegie Mellon University; Dominic Ross, Software Engineering Institute, Carnegie Mellon University
10:00 AM	Developing Logistic Regression for the High-Dimensional DNA Methylation Data Mohamed salem Milad, Arkansas State University
10:05 AM	A Survey of Likelihood Ratio Method Development and Implementation AcrossMultiple Forensic Disciplines Lulu Chen, University of Central Florida; Larry Tang, University of Central Florida; Jonathon Phillips, National Institute of Standards and Technology
10:10 AM	Modeling Sparse Data Using MLE with Applications to Microbiome Data Hani Aldirawi, California State University San Bernardino

10:15 AM	Floor Discussion

151	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-141
Novel Methods and Tools in the Era of Big Omics Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Xiaoyu Zhang, Boston University
10:35 AM	PseudoGA: Cell Pseudotime Reconstruction Method Based on Genetic Algorithm Using Single Cell RNA-Seq Data Indranil Mukhopadhyay, Indian Statistical Institute; Pronoy Kanti Mondal, Indian Statistical Institute; Udit Surya Saha, Indian Statistical Institute
10:50 AM	Exponential Family Measurement Error Models for Single-Cell CRISPR Screens Timothy Barry, Carnegie Mellon University; Eugene Katsevich, University of Pennsylvania; Kathryn Roeder, Carnegie Mellon University
11:05 AM	Deep Ensemble Learning Over the Microbial Phylogenetic Tree (DeepEn-Phy) Wodan Ling, Fred Hutchinson Cancer Research Center; Youran Qi, Amazon; Xing Hua, Fred Hutchinson Cancer Research Center; Michael C. Wu, Fred Hutchinson Cancer Research Center
11:20 AM	FDR Inference for Paired Sample in High-Dimensional Compositional Data Jung Ae Lee, University of Massachusetts Chan Medical School
11:35 AM	Inferring Differences in the Number of Classes Between Populations, in the Presence of Misclassification Errors Senthil Kumar Muthiah, Dana-Farber Cancer Institute; Eric Slud, Unviersity of Maryland, College Park; Christine Hehnly, Pennsylvania State University; Lijun Zhang, Pennsylvania State University; James Broach, Pennsylvania State University; Steven Schiff, Pennsylvania State University; Rafael Irizarry, Dana-Farber Cancer Institute; Joseph Paulson, Genentech
11:50 AM	Development and Evaluation of Kernel Association Tests to Detect Longitudinal Trends Between Beta Diversity and Human Health Nicholas Earl Weaver, University of Colorado Denver; Audrey Hendricks, University of Colorado Denver
12:05 PM	Testing Tree-Likeness of Phylogenetic Network Data with Cross-Validation Presentation Md Rashidul Hasan, University of New Mexico; James Degnan, University of New Mexico

156	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-Hall D
Contributed Poster Presentations: Section on Statistics in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics
Chair(s): Gyuhyeong Goh, Kansas State University
21:	Genotype Likelihood Approaches to Linkage Disequilibrium Estimation for Polyploids D. Thomas Scartz, American University; Hanwei Hu, American University; David Gerard, American University
22:	A Bayesian Approach to Simultaneous Factorization and Prediction Using Multi-Omic Data Sarah Samorodnitsky, University of Minnesota Division of Biostatistics; Chris Wendt, University of Minnesota Medical School; Eric F Lock, University of Minnesota
23:	Cross-Ethnic Penalized Regression Improves Prediction Accuracy by Incorporating LD Structures Across Populations Wonil Chung, Soongsil University
24:	Leveraging Bayesian Hierarchical Modeling to Build Multi-Ancestry Polygenic Scores Sophia Gunn, Boston University; Kathryn Lunetta, Boston University; Luis Carvalho, Boston University
25:	Probabilistic Multilevel Canonical Correlation Analysis (CCA) for Integrative Analysis of Multi-Omics Data Yuna Kim, Drexel University Dornsife School of Public Health; Scarlett (she/her/hers) L. Bellamy , Drexel University, Dornsife School of Public Health; Jiao Li, Baylor College of Medicine; Robert T Krafty, Emory University; Lucy F. Robinson, Drexel University Dornsife School of Public Health; Gail L. Rosen, Drexel University
26:	Robust and Accurate Estimation of Cellular Fraction from Tissue Omics Data via Ensemble Deconvolution Manqi Cai, University of Pittsburgh; Molin Yue, University of Pittsburgh; Tianmeng Chen, University of Pittsburgh; Jinling Liu, Missouri University of Science and Technology ; Erick Forno, University of Pittsburgh; Xinghua Lu, University of Pittsburgh; Timothy Billar, University of Pittsburgh; Juan Carlos Celedón, University of Pittsburgh; Chris McKennan, University of Pittsburgh; Wei Chen, University of Pittsburgh; Jiebiao Wang, University of Pittsburgh
27:	Expanding Sparse Partial Least Squares Regression Using Dynamic Bootstrap Frédéric Bertrand, Troyes Technology University; Myriam Maumy, Troyes Technology University
28:	SNP-Set Extreme Phenotype Sampling in Genome-Wide Association Studies Hung-Chih Ku, DePaul University; Zhengyang Zhou, University of North Texas Health Science Center; Chao Xing, UT Southwestern Medical Center
29:	Microbial Community Modeling and Diversity Estimation Using the Hierarchical Pitman-Yor Process Kevin McGregor, York University; Aurelie Labbe, HEC Montreal; Celia MT Greenwood, McGill University; Todd Parsons, Sorbonne University; Christopher Quince, Earlham Institute
30:	Multivariate Testing and Modeling for Longitudinal Effects of Maternal HIV-Exposure on Nasopharyngeal Infant Microbiomes in Zambia Aubrey R. Odom-Mabey, Boston University
31:	Estimation of Mediating Effect Using Inverse Probability Weighting Method with a Zero-Inflated Mediator Dongyang Yang, University of Toronto; Wei Xu, University of Toronto, Princess Margaret Cancer Centre
32:	Dissect Phenome-Genome Interactions Through Correlation Regression Model Abhijnan Chattopadhyay, Michigan State University; Samiran Sinha, Texas A&M University; Tapabrata Maiti, Michigan State University; David Mark Kramer, Michigan State University

158	Mon, 8/8/2022, 10:30 AM - 11:15 AM	CC-Hall D
SPEED: Statistical Methods, Computing, and Applications Part 2 — Contributed Poster Presentations
International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistical Computing, Section on Statistics in Defense and National Security, Section on Statistics in Genomics and Genetics
Chair(s): Rui Xie, University of Central Florida
01:	The Role of Berkson Paradox in Significance Testing Miodrag Lovric, Radford University
02:	The growclusters Package for R Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance D Savitsky, U.S. Bureau of Labor Statistics
03:	Analysis of Accelerometer Data from NHANES Database Using Fréchet Single Index Model Aritra Ghosal , University of California, Santa Barbara ; Wendy Meiring , University of California Santa Barbara ; Alexander Petersen, Brigham Young University; Marcos Matabuena , University of Santiago de Compostela
04:	Double Sampling for Informative Coarsening: Considerations for Bias Reduction and Efficiency Gain Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
05:	Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies Lynda Aouar, University of Northern Colorado
06:	A Comparison of Regression Discontinuity Effect Estimation for Small Samples Daryl Swartzentruber, The Ohio State University; Eloise E Kaizar, The Ohio State University
07:	Reliability for Binary and Ordinal Data in Forensics Hina Arora, University of California Irvine; Naomi Kaplan-Damary, Hebrew University; Hal S. Stern, University of California-Irvine
08:	Approaching Supersaturated Screening as a Pilot Experiment Michael McKibben, NCSU; Jonathan Stallrich, North Carolina State University
09:	Bayesian Modeling of Spatial Molecular Profiling Data at the Single-Cell Level Jie Yang, The University of Texas at Dallas; Sunyoung Shin, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
10:	W-BETEL: Bayesian Exponentially Tilted Empirical Likelihood with Parametric Restriction via a Modified Wasserstein Metric Abhisek Chakraborty, Texas A & M University; Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University
11:	Interpretable Modeling of Genotype-Phenotype Landscapes with State-of-the-Art Predictive Power Peter Tonner, National Institute of Standards and Technology; David Ross, National Institute of Standards and Technology; Abe Pressman, National Institute of Standards and Technology
12:	Cybersecurity and Infrastructure Security Agency Enterprise Conceptual Data Model Swami Natarajan, The MITRE Corporation
13:	MCMC-CE: A Novel Approach for Accurate Estimation of the Distributions of Large Quadratic Forms of Normal Variables Bich Na Choi, Medical College of Georgia, Augusta University; Yang Shi, Augusta University
14:	Taking PDE Solutions from Low-Fidelity to High-Fidelity Using Bayesian Dynamic Function on Function Regression Marie Tuft, Sandia National Laboratories; Daniel Ries, Sandia National Labs
15:	Bayesian Iterative Conditional Stochastic Search (BICOSS) for GWAS Jacob Williams, Virginia Polytechnic Institute and State University; Marco Ferreira, Virginia Tech
16:	A Statistical Framework for Deepfake Detection Shannon Gallagher, Software Engineering Institute, Carnegie Mellon University; Catherine Bernaciak, Software Engineering Institute, Carnegie Mellon University; Jeffrey Mellon, Software Engineering Institute, Carnegie Mellon University; Dominic Ross, Software Engineering Institute, Carnegie Mellon University
17:	Multi-Omics Integrative Analysis for Incomplete Data Using Weighted P-Value Adjustment Approaches Wenda Zhang, University of South Carolina
18:	Developing Logistic Regression for the High-Dimensional DNA Methylation Data Mohamed salem Milad, Arkansas State University
19:	A Survey of Likelihood Ratio Method Development and Implementation AcrossMultiple Forensic Disciplines Lulu Chen, University of Central Florida; Larry Tang, University of Central Florida; Jonathon Phillips, National Institute of Standards and Technology
20:	Modeling Sparse Data Using MLE with Applications to Microbiome Data Hani Aldirawi, California State University San Bernardino

167	Mon, 8/8/2022, 12:30 PM - 1:50 PM	CC-Ballroom Level South Prefunction
Section on Statistics in Genomics and Genetics P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Genomics and Genetics
ML15:	Emerging Challenges and Opportunities in Statistical Genetics and Genomics Xihong Lin, Harvard University

CE_20C	Mon, 8/8/2022, 1:00 PM - 5:00 PM	CC-146C
Statistical and Computational Methods for Microbiome and Metagenomics Data Analysis — Professional Development Continuing Education Course
ASA, Section on Statistics in Genomics and Genetics
Instructor(s): Curtis Huttenhower, Harvard T.H. Chan School of Public Health; Hongzhe Li, University of Pennsylvania
High throughput sequencing technologies enable large-scale individualized characterization of the microbiome composition, functions and community dynamics. The human microbiome, defined as community of microbes in and on the human body, impacts human health and risk of disease by dynamically interacting with host diet, genetics, metabolism and environment. The resulting microbiome data together with genomics and metabolomics data can potentially be used for personalized diagnostic assessment, risk stratification, disease prevention and treatment. New computational and statistical methods are being developed to understand the function of microbial communities by integrating microbiome and other omics data. In this short course, we will give detailed presentations on the statistical and computational methods for measuring various important features of the microbiome based on shotgun metagenomic sequencing data, and how these features are used as an outcome of an intervention, as a mediator of a treatment and as a covariate to be controlled for when studying disease/exposure associations. The statistics underlying some of the most popular tools in microbiome data analysis will be presented, including bioBakery tools for meta’omic profiling and tools for microbial community profiling (MetaPhlAn, HUMAnN, Data2, DEMIC, etc), together with advanced methods for compositional data analysis and kernel-based association analysis.

186 *	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-203AB
Statistical Methods for Assessing Genomic Heterogeneity — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, ENAR, IMS
Organizer(s): Yuchao Jiang, University of North Carolina at Chapel Hill
Chair(s): Yuchao Jiang, University of North Carolina at Chapel Hill
2:05 PM	Identifying Novel Cells in Annotating Single Cell RNA-Seq Data Ziyi Li, The University of Texas MD Anderson Cancer Center; Yizhuo Wang, The University of Texas MD Anderson Cancer Center; Kim-Anh Do , MD Anderson Cancer Center
2:25 PM	Analyzing and Comparing Multiple Spatial Gene Expression Samples with POLYspace Zhicheng Ji, Duke University; Huimin Wang, Duke University School of Medicine
2:45 PM	Scaffold: Data Generation–Based Simulation Framework for Single-Cell RNA-Seq Data Rhonda Bacher, University of Florida; Parker Knight, University of Florida; Christina Kendziorski, University of Wisconsin-Madison
3:05 PM	Exploiting Deep Transfer Learning for the Prediction of Functional Noncoding Variants Using Genomic Sequence Li Chen, Indiana University
3:25 PM	Efficient Gradient Boosting for Prognostic Biomarker Discovery Xuefeng Wang, H. Lee Moffitt Cancer Center and Research Institute
3:45 PM	Floor Discussion

230 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-143C
Recent Advances in Statistical Methods for Omics Data — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology, Text Analysis Interest Group
Organizer(s): Hanfei Xu, Boston University
Chair(s): Hanfei Xu, Boston University
8:35 AM	Powerful, Scalable and Resource-Efficient Rare Variant Meta-Analysis of Whole-Genome Sequencing Studies Using Summary Statistics and Functional Annotations Xihao Li, Harvard T.H. Chan School of Public Health; Jerome I. Rotter, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center; Pradeep Natarajan, Massachusetts General Hospital; Gina M. Peloso, Boston University School of Public Health; Zilin Li, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard University
8:55 AM	Graph Laplacian Regularized Model for Cell Type Deconvolution in Spatial Transcriptomics Zuoheng Wang, Yale University
9:15 AM	Information-Incorporated Sparse Convex Clustering for Disease Subtyping Xiaoyu Zhang, Boston University; Ching-Ti Liu, Boston University
9:35 AM	R2-Based Mediation Analysis with High-Dimensional Omics Mediators Peng N/A Wei, The University of Texas MD Anderson Cancer Center; Tianzhong Yang, University of Minnesota; Sunyi N/A Chi, The University of Texas MD Anderson Cancer Center; Zhichao Xu, The University of Texas MD Anderson Cancer Center; Chunlin Li, University of Minnesota; Bin Shi, The University of Texas MD Anderson Cancer Center; Xuelin Huang, The University of Texas MD Anderson Cancer Center
9:55 AM	Detection of Pleiotropy in Mediation Analysis Based on Multivariable Mendelian Randomization Between Omics Layers and Complex Traits – Extending MR-PRESSO to Multivariable Setting Wenqing Jiang, Boston University School of Public Health; Daniel Levy, Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study; George T O’Connor, Boston University; Josée Dupuis, Boston University School of Public Health
10:15 AM	Floor Discussion

248 !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-142
Recent Advances in Genetic Association and Gene-Environment Interaction Studies — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Jin Zhou, UCLA
8:35 AM	Inference for Set-Based Effects in Genome Wide Association Studies with Multiple Interval-Censored Outcomes Jaihee Choi, Rice University; Ryan Sun, University of Texas, MD Anderson Cancer Center
8:50 AM	Random-Effect Based Test for Multinomial Logistic Regression: Choice of the Reference Level and Its Impact on the Testing Qianchuan He, Fred Hutchinson Cancer Research Center; Yang Liu, Wright State University; Meiling Liu, Fred Hutchinson Cancer Research Center; Michael C. Wu, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center
9:05 AM	Ultra-High-Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis Tianhai Zu, University of cincinnati; Heng Lian, City University of Hong Kong; Brittany Green, University of Louisville; Yan Yu, University of Cincinnati
9:20 AM	A Random Effect Model Based Method of Moments Estimation of Causal Effect in Mendelian Randomization Studies Wenhao Cao, Division of Biostatistics, University of Minnesota; Saonli Basu, Division of Biostatistics, University of Minnesota
9:35 AM	A Novel Ranked Screening Procedure for Two-Step Hypothesis Testing in Gene-Environment Studies Eric Shinya Kawaguchi, University of Southern California; W. James Gauderman, University of Southern California; Juan Pablo Lewinger, University of Southern California
9:50 AM	Aggregated Cauchy Composite Kernel Association Test (ACCKAT) for SNP-Set Joint Assessment of Genotype and Genotype-By-Treatment Interaction in Large-Scale Data Judong Shen, Merck & Co., Inc.; Hong Zhang, Merck & Co., Inc.; Lan Luo, Merck & Co., Inc.
10:05 AM	A Quantile Integral Linear Model to Quantify Genetic Effects on Phenotypic Variability Jiacheng Miao, University of Wisconsin–Madison; Yupei Lin, Baylor College of Medicine; Yuchang Wu, University of Wisconsin–Madison; Boyan Zheng, University of Wisconsin–Madison; Lauren Schmitz, Robert M. La Follette School of Public Affairs, University of Wisconsin–Madison; Jason Fletcher, University of Wisconsin–Madison; Qiongshi Lu, University of Wisconsin–Madison

256 * !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-143A
Statistical Advances for Heterogeneous Transcriptomics Data — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Jiebiao Wang, University of Pittsburgh
Chair(s): George Tseng, Univertisy of Pittsburgh
10:35 AM	Gaussian Graphical Model-Based Heterogeneity Analysis via Penalized Fusion Shuangge Ma, Yale University
11:00 AM	Accounting for Cell Type Hierarchy Improves Cell Type-Specific Differential Analyses Hao Wu, Emory University; Luxiao Chen, Emory University
11:25 AM	Global Network Learning Using Augmented High-Dimensional Graphical Lasso Model Katerina Kechris, University of Colorado Anschutz Medical Campus; Yonghua Zhuang, University of Colorado Anschutz Medical Campus
11:50 AM	On Statistical Methods for Data Harmonization in Molecular Prognostication Li-Xuan Qin, Memorial Sloan Kettering Cancer Center; Ai Ni, The Ohio State University
12:15 PM	Floor Discussion

338 !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-155
Novel Bayesian Methods in Genetic and Genomic Studies — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Kimberly Siegmund, University of Southern California
2:05 PM	IIMPACT: Integrating Image and Molecular-Based Profiles to Analyze and Cluster Spatial Transcriptomics Data Xi Jiang, Southern Methodist University; Qiwei Li, The University of Texas at Dallas; Guanghua Xiao, The University of Texas Southwestern Medical Center; Lin Xu, The University of Texas Southwestern Medical Center
2:20 PM	Bayesian Estimation of a Joint Semiparametric Recurrent Event Model of Multiple Cancer Types with Applications to the Li-Fraumeni Syndrome Nam Hoai Nguyen, Rice University; Seung Jun Shin, Korea University; Jing Ning, UT MD Anderson Cancer Center; Elissa Dodd-Eaton, The University of Texas MD Anderson Cancer Center; Wenyi Wang, The University of Texas MD Anderson Cancer Center
2:35 PM	MCMC-CE: Fast and Accurate Computation of the Marginal Likelihood with Applications in Genomic Data Analysis Yang Shi, Augusta University
2:50 PM	Incorporating Cell-Type Hierarchy Improves Cell-Type Specific Differential Analyses in Bulk Omics Data Luxiao Chen, Emory University; Ziyi Li, The University of Texas MD Anderson Cancer Center; Hao Wu, Emory University
3:05 PM	Bayesian Hierarchical Hypothesis Testing in Large-Scale Genome-Wide Association Study Anirban Samaddar, Michigan State University; Tapabrata Maiti, Michigan State University; Gustavo de los Campos, Michigan State University
3:20 PM	Variational Supertrees for Bayesian Phylogenetics Michael Karcher, Muhlenberg College; Erick Matsen, Fred Hutchinson Cancer Research Center; Cheng Zhang, Peking University
3:35 PM	SpaDecon: Cell-Type Deconvolution in Spatial Transcriptomics with Transfer Learning Kyle Patrick Coleman, University of Pennsylvania

223607	Tue, 8/9/2022, 6:00 PM - 7:30 PM	M-Monument
Section on Statistics in Genomics and Genetics Business Meeting — Other Cmte/Business
Section on Statistics in Genomics and Genetics
Chair(s): Michael C. Wu, Fred Hutchinson Cancer Research Center

372 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-101
Statistical Methods for Microbiome Data Analysis — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Shulei Wang, University of Illinois at Urbana-Champaign
Chair(s): Bo Yuan, University of Illinois at Urbana-Champaign
8:35 AM	Robust Differential Abundance Test in Compositional Data Presentation Shulei Wang, University of Illinois at Urbana-Champaign
8:55 AM	Subcommunity Learning and Dynamic Modeling for Microbiome Compositions Through the Logistic-Tree Normal Model Li Ma, Duke University; Patrick LeBlanc, Duke University; Morris Greenberg, University of Toronto; Zhuoqun Wang, Duke University
9:15 AM	Bias Resistant Modeling of Microbiome Relative Abundance Ni Zhao, Johns Hopkins University; Mo Li, Johns Hopkins University; Glen Satten, Emory University
9:35 AM	Conditional Randomization Testing for High-Dimensional and Compositional Microbiome Data Siyuan Ma, University of Pennsylvania; Curtis Huttenhower, Harvard T.H. Chan School of Public Health; Lucas Janson, Harvard University
9:55 AM	A New Approach for Differential Abundance Analysis of Microbiome Compositional Data Jun Chen, Mayo Clinic
10:15 AM	Floor Discussion

418 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-206
Statistical Methods for Single Cell Genomics and Spatial Transcriptomics — Topic Contributed Papers
International Indian Statistical Association, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Satabdi Saha, Michigan State University
Chair(s): Vojtech Kejzlar, Skidmore College
10:35 AM	Joint Analyses of Single-Cell, Spatial Transcriptomic, and MERFISH Data for Mammalian Germ Cell Development Jun Li, University of Michigan
10:55 AM	Machine Learning for Modeling Dynamics in the Tumor Microenvironment Elham Azizi, Columbia University
11:15 AM	Statistical Analysis of Single Cell RNA Sequencing (ScRNA-Seq) Data Susmita Datta, University of Florida; Michael Sekula, University of Louisville; Jeremy Gaskins, University of Louisville
11:35 AM	Multiview Graph Learning for Single-Cell RNA Sequencing Data Satabdi Saha, Michigan State University; Abdullah Karaaslanli, Michigan State University; Selin Aviyente, Michigan State University; Tapabrata Maiti, Michigan State University
11:55 AM	Bayesian Analysis of Single-Nuclei Dose Response Data Samiran Sinha, Texas A&M University; Tapabrata Maiti, Michigan State University; Satabdi Saha, Michigan State University
12:15 PM	Floor Discussion

428 !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-155
Clustering and Dimension-Reduction Methods: From Omics to Single-Cell Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Tiantian Yang, Boston University
10:35 AM	Exploring Regularized Regression Methods to Improve the Accuracy and Consistency of Component-Wise Sparse Mixture Regression Clustering for High-Dimensional Data Bo NMN Zhang, University of Kansas Medical Center; Devin Koestler, University of Kansas Medical Center; Prabhakar Chalise, University of Kansas Medical Center; Jianghua He, University of Kansas Medical Center; Jinxiang Hu, University of Kansas Medical Center
10:50 AM	Data-Type Weighted Multi-Omics Spectral Clustering for Disease Subtyping Peifeng Ruan, Yale University; Hongyu Zhao, Yale University
11:05 AM	Gene Embedding of Omic Data Using Gene Annotations Zhexiao Lin, University of Washington; Wei Sun, Fred Hutchinson Cancer Research Center
11:20 AM	Denoising and Inference for Single Cell Chromosome Conformation Capture Data (ScHi-C) by Large-Scale Unbiased Tensor Decomposition Kwangmoon Park, University of Wisconsin-Madison; Sunduz Keles, University of Wisconsin, Madison
11:35 AM	Improvement to GLASS/Maximum Tree Method of Species Tree Inference from Estimated Gene Trees Using Measurement Error Modified Single Linkage Clustering Sarah Alver, University of New Mexico; James Degnan, University of New Mexico; Fletcher Christensen, University of New Mexico
11:50 AM	ScGAD: Single-Cell Gene Associating Domain Scores for Exploratory Analysis of ScHi-C Data Siqi Shen, University of Wisconsin - Madison; Sunduz Keles, University of Wisconsin, Madison; Ye Zheng, Fred Hutchinson Cancer Research Center
12:05 PM	Differential Inference for Single-Cell RNA-Seq Data Fangda Song, The Chinese University of Hong Kong, Shenzhen; Yingying Wei, The Chinese University of Hong Kong

496 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-207A
Machine Learning Methods for Single-Cell Analysis — Invited Papers
WNAR, Section on Statistical Learning and Data Science, Section on Statistics in Genomics and Genetics
Organizer(s): Lingling An, University of Arizona
Chair(s): Joel Parker, Mel and Enid Zuckerman College of Public Health
8:35 AM	Discovering Novel Cell Types Across Heterogeneous Single-Cell Experiments Jure Leskovec, Stanford University
9:00 AM	Statistical Machine Learning Models for Large-Scale Spatial Omics James Zou, Stanford University
9:25 AM	Benchmarking Computational Integration Methods for Spatial Transcriptomics Data Lana Garmire, University of Michigan
9:50 AM	Time-Course Single-Cell Multimodal Analysis and Trajectory Inference Using Deep Generative Models Qiao Liu, Stanford University; Xi Chen, Stanford University; Jingxue Xin, Stanford University; Wanwen Zeng, Stanford University; Wing Hung Wong, Stanford University
10:15 AM	Floor Discussion

514 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-101
Advancements in Multi-Omics Integration Techniques — Topic Contributed Papers
Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science, Section on Statistics in Genomics and Genetics
Organizer(s): Ali Rahnavard, George Washington University
Chair(s): Himel Mallick, Merck Research Laboratories
8:35 AM	Multiomics Analysis of Normal and Pathological Pregnancies Nima Aghaeepour, Stanford University
8:55 AM	Identifying Associations Between Genomic and Clinical Features of SARS-CoV-2 in the New Jersey Area During the Early Stages of the COVID-19 Pandemic Tyson Dawson, The George Washington University; Ali Rahnavard, George Washington University
9:15 AM	IntegratedLearner: An Integrated Bayesian Framework for Multi-Omics Prediction and Classification Anupreet Porwal, University of Washington; Himel Mallick, Merck Research Laboratories; Erina Paul, Merck & Co., Inc.; Satabdi Saha, Michigan State University; Vladimir Svetnik, Merck Research Labs
9:35 AM	Pathway Enrichment Analysis for Functional Integration of Multi-Omics in Roux-En-Y Gastric Bypass Ali Rahnavard, George Washington University; Nima Saeidi, Harvard Medical School
9:55 AM	Floor Discussion

524	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-204A
Recent Advances in Methods for Genomic Data Analysis — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Anna Plantinga, Williams College
8:35 AM	Neural Network Models for Sequence-Based TCR and HLA Association Prediction Si Liu, Fred Hutchinson Cancer Research Center; Phil Bradley, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center
8:50 AM	Estimating Cell-Type-Specific Gene Co-Expression Networks from Bulk Gene Expression Data with an Application to Alzheimer's Disease Chang Su, Yale University; Emma Jingfei Zhang, University of Miami; Hongyu Zhao, Yale University
9:05 AM	Identifying Differentially Methylated CpG Sites and Regions Based on the Generalized Beta Distribution Chengzhou Wu, University of Memphis; Xichen Mou, University of Memphis; Hongmei Zhang, University of Memphis
9:20 AM	A General Framework for Powerful Confounder Adjustment in Omics Association Studies Asmita Roy, Texas A&M University; Xianyang Zhang, Texas A&M university
9:35 AM	High-Dimensional Mean Vector Test for One-Sided Hypothesis Rongrong Wang, Division of Biostatistics and Data Science Medical College of Georgia Augusta University ?; Deepak Nag Ayyala, Division of Biostatistics and Data Science Medical College of Georgia Augusta University ?; Santu Ghosh, Division of Biostatistics and Data Science Medical College of Georgia Augusta University ?
9:50 AM	Ensembling for Unsupervised Learning with Application to False Discovery Rates Jenna Michelle Landy, Harvard T.H. Chan School of Public Health; Giovanni Parmigiani, Dana Farber Cancer Institute
10:05 AM	BBQ: Better Base Qualities for Next-Generation Sequencing Wenyu Gao, Harvard University; Jeffrey Miller, Harvard TH Chan School of Public Health; Robert Klein, Department of Data Science, Dana-Farber Cancer Institute; Philipp Hähnel, Department of Data Science, Dana-Farber Cancer Institute; Scott Carter, Department of Data Science, Dana-Farber Cancer Institute

527 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-159AB
Novel Statistical Methods for Single-Cell Genomic Data — Invited Papers
Section on Statistics in Genomics and Genetics, WNAR, ENAR
Organizer(s): Wei Vivian Li, University of California, Riverside
Chair(s): Miles Xi, Loyola University Chicago
10:35 AM	Individual-Level Differential Expression Analysis for Single Cell RNA-Seq Data Mengqi Zhang, University of Pennsylvania; Si Liu, Fred Hutchinson Cancer Research Center; Zhen Miao, University of Washington; Fang Han, University of Washington; Raphael Gottardo, Lausanne University Hospital; Wei Sun, Fred Hutchinson Cancer Research Center
11:00 AM	ScINSIGHT for Interpreting Single-Cell Gene Expression from Biologically Heterogeneous Data Kun Qian, China University of Geosciences; Shiwei Fu, Rutgers, The State University of New Jersey; Hongwei Li, China University of Geosciences; Wei Vivian Li, University of California, Riverside
11:25 AM	An All-In-One Statistical Framework That Generates Realistic Single-Cell Omics Data and Infers Cell Heterogeneity Structure Presentation Jingyi Jessica Li, University of California, Los Angeles
11:50 AM	Robust Personalized Gene Co-Expression Network Construction from Single Cell RNA-Seq Data Sunduz Keles, University of Wisconsin, Madison; Shan Lu, University of Wisconsin, Madison
12:15 PM	Floor Discussion

JSM 2022 Conference Program

Activity Details

American Statistical Association