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Activity Details
308
Wed, 8/11/2021,
3:30 PM -
5:20 PM
Virtual
Statistical Methods for Studying Spatial Transcriptomics, Tissue Heterogeneity, and Pleiotropy — Topic-Contributed Papers
Section on Statistics in Genomics and Genetics , International Chinese Statistical Association
Organizer(s): Xiaoyu Song, Icahn School of Medicine at Mount Sinai
Chair(s): Xiaoyu Song, Icahn School of Medicine at Mount Sinai
3:35 PM
Nonparametric Modeling Enables Scalable and Robust Detection of Spatial Expression Patterns for Large Spatial Transcriptomic Studies
Xiang Zhou, University of Michigan
3:55 PM
Unsupervised Gene Selection for Predicting Cell Spatial Positions in the Drosophila Embryo
Zhengqing Ouyang, University of Massachusetts, Amherst
4:15 PM
Learning Directed Acyclic Graphs for Ligands and Receptors Based on Spatially Resolved Transcriptomic Analysis of Ovarian Cancer
SHRABANTI CHOWDHURY, Icahn school of Medicine at Mount Sinai ; Sammy Ferri-Borgogno, MD Anderson Cancer Center; Peng Yang, University of Texas MD Anderson Cancer Center; Jie Peng, University of California Davis; Wenyi Wang, University of Texas MD Anderson Cancer Center; Samuel Mok, MD Anderson Cancer Center; Pei Wang, Icahn school of Medicine at Mount Sinai
4:35 PM
Tumor Cell Total MRNA Expression Shapes the Molecular and Clinical Phenotype of Cancer
Shaolong Cao, University of Texas MD Anderson Cancer Center ; Jennifer Rui Wang, University of Texas MD Anderson Cancer Center; Shuangxi Ji, University of Texas MD Anderson Cancer Center; Peng Yang, University of Texas MD Anderson Cancer Center; Jonas Demeulemeester, KU Leuven; Peter Van Loo, The Francis Crick Institute; Wenyi Wang, University of Texas MD Anderson Cancer Center
4:55 PM
Mendelian Randomization That Accounts for LD and Correlated Horizontal Pleiotropy
Jin Liu, Duke-NUS Medical School, Health Service & Systems Research
5:15 PM
Floor Discussion
