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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

40 * Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-101
Statistical Methods for Microbiome and Tumor Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Zhigang Li, University of Florida
2:05 PM Discriminative Factor Model for Microbiome Analysis

Yiwen Liu, Duke University; Peter Merrill, Duke Clinical Research Institute; Noelle Younge, Duke University School of Medicine; C. Michael Cotten, Duke University School of Medicine; Ricardo Henao, Duke University
2:20 PM A Novel Normalization and Differential Abundance Test Framework for Microbiome Data

Yuanjing Ma; Yuan Luo, Northwestern University ; Hongmei Jiang, Northwestern University
2:35 PM A Bayesian Framework for Uncovering Association Between Microbial Composition and Host Phenotypes
Subhajit Sengupta, NorthShore University HealthSystem; Riten Mitra, University of Louisville; Robert Butler III, NorthShore University HealthSystem; Abhishek Bhattacharjee, University of Northern Colorado; Pablo Gejman, NorthShore University HealthSystem
2:50 PM A Hidden Markov Modeling Approach for Identifying Tumor Subclones in Next-Generation Sequencing Studies

BIN ZHU, NIH/NCI; HYOYOUNG CHOO-WOSOBA, NCI; Paul Albert , National Cancer Insititute
3:05 PM Predicting Cancer Immunotherapy Treatment Response with Neoantigen Burden
Laura Zhou, University of North Carolina at Chapel Hill ; Fei Zou, University of North Carolina at Chapel Hill; Wei Sun, Fred Hutchinson Cancer Research Center
3:20 PM Predictive Models for Detecting Association Between MiRNAs and Lympho Vascular Invasion
Moumita Karmakar, Texas A&M University; Pei-chun Lai, Texas A&M University; Samiran Sinha, Texas A&M University; Sanjukta Chakraborty, Texas A&M University
3:35 PM A Mixed-Model Approach for Powerful Testing of Genetic Associations with Cancer Risk Incorporating Tumor Characteristics
Haoyu Zhang, Johns Hopkins University; Ni Zhao, Johns Hopkins University; Thomas U. Ahearn, National Cancer Institute; William Wheeler, Information Management Services, Inc.; Montserrat Garcia-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University