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581 * ! Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Advanced Cross-Disciplinary Statistical Methods in Statistical Genomics — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science
Organizer(s): Suvo Chatterjee, National Institute of Child Health and Development (NICHD)/ National Institutes of Health
Chair(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
3:05 PM Utilizing Patient Information to Identify Subtype Heterogeneity of Cancer Driver Genes
Bin Zhu, NCI; Ho-Hsiang Wu, Food and Drug Administration; Xing Hua, Fred Hutchinson Cancer Research Center; Jianxin Shi, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
3:25 PM Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions
Suvo Chatterjee, National Institute of Child Health and Development (NICHD)/ National Institutes of Health; Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Duchwan Ryu, Northern Illinois University; Fasil Tekola Ayele, NICHD/NIH
3:45 PM A Bayesian Precision Medicine Framework for Calibrating Individualized Therapeutic Indices in Cancer
ABHISEK SAHA, NICHD, NIH; Veera Baladandayuthapani, University of Michigan; Min Jin Ha, UT MD Anderson Cancer Center
4:05 PM Multi-Resolution Clustering of Omics Data for Pattern Discovery
Ali Rahnavard, George Washington University
4:25 PM Multiomics Analysis of the Immunome, Transcriptome, Microbiome, Proteome, and Metabolome in Pregnancy
Nima Aghaeepour, Stanford University - Stanford, CA
4:45 PM Floor Discussion