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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