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Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

501 * ! Wed, 8/3/2016, 8:30 AM - 10:20 AM CC-W178b
Analysis of Gene Expression, Genomics, and Next-Generation Sequencing Data — Contributed Papers
Section on Statistics in Genomics and Genetics , Biopharmaceutical Section
Chair(s): Cheng Jia, University of Pennsylvania
8:35 AM Efficient Bayesian Model-Based Clustering Method for Identification of Transcription Factor--Binding Sites for ChIA-PET Data — Ioannis Vardaxis, Norwegian University of Science and Technology ; Bo Henry Lindqvist, Norwegian University of Science and Technology ; Finn Drabløs, Norwegian University of Science and Technology ; Morten Beck Rye, Norwegian University of Science and Technology
8:50 AM Adaptive Models for Profiling Tumor Evolution and Drug Response in Cancer Cell Subpopulations — Evan Johnson, Boston University
9:05 AM Detecting EQTLs: A Fast Analysis Protocol Using High-Dimensional Sequencing Data — Kai Kammers, Johns Hopkins Bloomberg School of Public Health ; Ingo Ruczinski, Johns Hopkins Bloomberg School of Public Health ; Margaret A. Taub, Johns Hopkins Bloomberg School of Public Health ; Joshua Martin, The GeneSTAR Program ; Lisa R. Yanek, The GeneSTAR Program ; Lewis Becker, The GeneSTAR Program ; Rasika A. Mathias, The GeneSTAR Program ; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
9:20 AM Analysis of Paired Mitochondrial DNA Data Set by Using Bivariate Poisson Models — Pei-Fang Su, National Cheng Kung University ; Yan Guo, Vanderbilt University ; John D. Boice, National Council on Radiation Protection and Measurements ; Yu Shyr, Vanderbilt University
9:35 AM BatchQC: Interactive Software Framework for Evaluating Sample and Batch Effects in Genomic Data — Solaiappan Manimaran, Boston University ; Evan Johnson, Boston University
9:50 AM Dirichlet Process Mixture Model for High-Dimensional Gene Expression Data — Eric Mittman, Iowa State University ; Jarad Niemi, Iowa State University
10:05 AM A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data — Jiehuan Sun, Yale University ; Jose D. Herazo-Maya, Yale School of Medicine ; Naftali Kaminski, Yale School of Medicine ; Hongyu Zhao, Yale University ; Joshua Warren, Yale University
 
 
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