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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, Rutgers, The State University of New Jersey
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, Rutgers, The State University of New Jersey
11:25 AM An All-In-One Statistical Framework That Generates Realistic Single-Cell Omics Data and Infers Cell Heterogeneity Structure
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