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442 *
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Thu, 8/6/2020,
10:00 AM -
11:50 AM
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Virtual
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Methods for Single-Cell and Microbiome Sequencing Data — Topic Contributed Papers
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Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
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Organizer(s): Himel Mallick, Merck Research Laboratories
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Chair(s): Himel Mallick, Merck Research Laboratories
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10:05 AM
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Statistical Methods for Clustered Microbiome Data
Zheng-Zheng Tang, University of Wisconsin-Madison; Guanhua Chen, University of Wisconsin-Madison
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10:25 AM
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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
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10:45 AM
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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
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11:05 AM
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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
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11:25 AM
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A Hierarchical Model for Microbial Abundance Observations
Siyuan Ma, Harvard University
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11:45 AM
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Floor Discussion
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