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303 * Tue, 8/6/2013, 8:30 AM - 10:20 AM CC-514b
High Throughput Sequencing Data — Contributed Papers
Biometrics Section , WNAR
Chair(s): Xinyi Lin, Harvard University
8:35 AM Nonparametric Methods for Identifying Differential Binding Regions with ChIP-Seq Data Qian Wu, University of Pennsylvania ; Kyoung-Jae Won, University of Pennsylvania ; Hongzhe Li, University of Pennsylvania
8:50 AM Testing for Differences Between Multiple Groups in High-Throughput Sequencing Data Using Bayesian Multiscale Models Heejung Shim, The University of Chicago ; Ester Pantaleo, The University of Chicago ; Matthew Stephens, The University of Chicago
9:05 AM Goodness-of-Fit Tests and Diagnostics for Negative Binomial Regression of RNA-Seq Data Gu Mi, Oregon State University ; Yanming Di, Oregon State University ; Daniel Schafer, Oregon State University ; Jeff Chang, Oregon State University
9:20 AM Detecting Differentially Methylated Genomic Regions with Generalized Gaussian Process Regression Dong Wang, University of Nebraska-Lincoln
9:35 AM Analysis of Sequencing Studies Under Multivariate Trait-Dependent Sampling Ran Tao, Department of Biostatistics, The University of North Carolina ; Danyu Lin, Univ of North Carolina ; Donglin Zeng, The University of North Carolina
9:50 AM Adaptive Resistant Regression Method (ARM): A Better Alternative to Quantile Normalization for Methylation Data Jean-Philippe Fortin, Department of Biostatistics, Johns Hopkins School of Public Health ; Aurélie Labbe, Department of Epidemiology, Biostatistics and Occupational Health, McGill University ; Celia M.T. Greenwood, Department of Epidemiology, Biostatistics and Occupational Health, McGill University ; Mathieu Lemire, Ontario Institute of Cancer Research, Toronto, ON, Canada ; Brent W. Zanke, Ottawa Hospital Research Institute ; Thomas J. Hudson, Ontario Institute of Cancer Research, Toronto, ON, Canada
10:05 AM Floor Discussion



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