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Tuesday, 08/03/2010
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Detecting Differentially Expressed Genes in Microarray Data by Split-and-Recombine
Dongseok Choi, Oregon Health & Science University; Zhixin Kang, The University of North Carolina at Pembroke; George Tiao, The University of Chicago
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Analyzing Gene Expression Data Using a Self-Contained Gene Set Enrichment Analysis Method
Jiawei Liu, Georgia State University
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A Bias-Corrected Method for Estimating the Proportion of True Null Hypotheses
Dexiang Gao, The Children's Hospital - Denver; Tiejun Tong, University of Colorado, Boulder
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Detection Call Algorithms for High-Throughput Gene Expression Microarray Data
Sarah Reese, Virginia Commonwealth University; Kellie Archer, Virginia Commonwealth University
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Performance of Different Filtering Methods When Testing for Differential Expression in Microarray Data
Soledad Fernandez, The Ohio State University; Parul Gulati, The Ohio State University; David Jarjoura, The Ohio State University; Lianbo Yu, The Ohio State University; Michael Pennell, The Ohio State University
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Model-Based Semisupervised Clustering
Volodymyr Melnykov, North Dakota State University; Wei-Chen Chen, Iowa State University; Ranjan Maitra, Iowa State University
9:15 AM
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Detection of Differentially Expressed Groups of Genes Using a Multivariate Test Statistic in a Partially Paired Microarray Data Set
Byung Soo Kim, Yonsei University; Johan Lim, Seoul National University; Jayeon Kim, Yonsei University; Sang-Cheol Kim, Yonsei University; Donghyeon Yu, Seoul National University; Kyunga Kim, Seoul National University
2:30 PM
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Linear Mixed Model Selection for False Discovery Rate Control in Microarray Data Analysis
Cumhur Yusuf Demirkale, University of Florida; Dan Nettleton, Iowa State University; Tapabrata Maiti, Michigan State University
2:55 PM
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