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Activity Details


306 Tue, 8/5/2014, 8:30 AM - 10:20 AM CC-157C
Gene Expression Data Analysis — Contributed Papers
Biometrics Section
Chair(s): Hongmei Jiang, Northwestern University   
8:35 AM Meta-Analysis--Based Variable Selection for Gene Expression Data Quefeng Li, Princeton University ; Sijian Wang, University of Wisconsin ; Chiang-Ching Huang, University of Wisconsin-Milwaukee ; Menggang Yu, University of Wisconsin-Madison ; Jun Shao, University of Wisconsin-Madison
8:50 AM The Most Informative Spacing Test Effectively Discovers Biologically Relevant Outliers or Multiple Modes in Expression Iwona Pawlikowska, St. Jude Children's Research Hospital ; Gang Wu, St. Jude Children's Research Hospital ; Michael Edmonson, St. Jude Children's Research Hospital ; Zhifa Liu, St. Jude Children's Research Hospital ; Tanja Gruber, St. Jude Children's Research Hospital ; Jinghui Zhang, St. Jude Children's Research Hospital ; Stanley Pounds, St. Jude Children's Research Hospital
9:05 AM Comparison of Differential Gene Expression Methodologies for RNA-Sequencing Data Darlene Olsen, Norwich University
9:20 AM A Systematic Review and Meta-Analysis of Gene Expression Prognostic Signatures in Lung Cancer Hao Tang, University of Texas Southwestern Medical Center ; Guanghua Xiao, University of Texas Southwestern Medical Center ; Joan Schiller, University of Texas Southwestern Medical Center ; Vassiliki Papadimitrakopoulou, MD Anderson Cancer Center ; John Minna, University of Texas Southwestern Medical Center ; Ignacio Wistuba, MD Anderson Cancer Center ; Yang Xie, University of Texas Southwestern Medical Center
9:35 AM Assign: Context-Specific and Integrative Genomic Profiling of Heterogenous Biological Pathways Ying Shen, Boston University ; W. Evan Johnson, Boston University School of Medicine
9:50 AM An Improved Method for Computing Q-Values When the Distribution of Effect Sizes Is Asymmetric Megan Orr, North Dakota State University ; Peng Liu, Iowa State University ; Dan Nettleton, Iowa State University
10:05 AM ROMER: Rank-Based Rotation Gene Set Enrichment Analysis Di Wu, Harvard



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