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347 Tue, 7/31/2012, 10:30 AM - 12:20 PM CC-Room 24C
Bayesian Modeling of Large-Scale Data — Contributed Papers
Section on Bayesian Statistical Science , Section on Statistical Learning and Data Mining
Chair(s): Joon Jin Song, University of Arkansas
10:35 AM A Bayesian Nonparametric Method for Differential Expression Analysis of RNA-Seq Data Yiyi Wang
10:50 AM Bayesian De Novo Characterization of Alternative Splicing Using High-Throughput Sequencing David Rossell, IRB Barcelona ; Camille Stephan Otto-Attolini, IRB Barcelona ; Manuel Kroiss, LMU Munich/TU Munich ; Almond Stöcker, LMU Munich
11:05 AM Bayesian Hierarchical Models with Spatial Mixture Priors in Genome-Wide Association Studies Jie Shen, University of California at Irvine ; Hal Stern, University of California at Irvine
11:20 AM Bayesian Approach to Protein Lysate Array Quantification Ji-Yeon Yang, MD Anderson Cancer Center ; Xuming He, University of Michigan ; Feng Liang, University of Illinois at Urbana-Champaign
11:35 AM A Bayesian Model-Averaging Approach for Observational High-Throughput Data Xi Kathy Zhou, Weill Cornell Medical College ; Fei Liu, IBM T. J. Watson Research Center ; Andrew J Dannenberg, Weill Cornell Medical College
11:50 AM A Latent Eigen Probit Model with Link Uncertainty for Prediction of Protein-Protein Interactions Xiaoyu Jiang, Novartis Institutes for BioMedical Research ; Eric D Kolaczyk, Boston University
12:05 PM Bayes Multiple Decision Functions in Classification Wensong Wu, Florida International University ; Edsel Aldea Pena, University of South Carolina

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