Conference Program Home
My Program
All Times EDT
Legend:
CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme
Activity Details
|
|
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
|
|