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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
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