Legend: CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
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
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
