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338 * Tue, 8/5/2014, 10:30 AM - 12:20 PM CC-209
Bayesian Modeling in Biomedical Applications — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Feng Liu, University of North Carolina   
10:35 AM HmmSeq: A Hidden Markov Model for Detecting Differentially Expressed Genes from RNA-Seq Data Shiqi Cui, University of Missouri-Columbia ; Subharup Guha, University of Missouri ; Marco A.R. Ferreira, University of Missouri ; Allison Tegge, University of Missouri-Columbia
10:50 AM A Bayesian Approach to Estimating Red Blood Cell Folate Concentration for Optimal Reduction of Neural Tube Defect Risk When Precise Folate Concentration Measures Are Not Available Owen Devine, CDC ; Krista Crider, CDC
11:05 AM A Bayesian Method for Partitioning Biological Pathways Based on Evolutionary History Yang Li, Harvard ; Jun Liu, Harvard ; Sarah E. Calvo, Broad Institute ; Roee Gutman, Brown University ; Vamsi K. Mootha, Harvard
11:20 AM A Semiparametric Bayesian Framework for Identifying Up or Down Regulated Genes in Subjects with Neurocysticercosis (NCC) Associated Epilepsy Michael Anderson, University of Oklahoma ; Cheuk H. Leung, OUHSC ; Suzanne R. Dubnicka, Kansas State University ; Douglas A. Drevets, OUHSC ; Vedantam Rajshekhar, Christian Medical College ; Anna Oommen, Christian Medical College ; Prabhakaran Vasudevan, Christian Medical College ; Josephin Justin Babu, Christian Medical College ; Ramajayam Govindan, Christian Medical College ; Helene Carabin, University of Oklahoma Health Sciences Center
11:35 AM Clustering fMRI Metadata to Identify Significant Regions of Brain Activation Meredith Ray, University of South Carolina ; Hongmei Zhang, University of Memphis ; Jian Kang, Emory University
11:50 AM Finding Clocks in Genes: a Bayesian Approach to Estimate Periodicity Yan Ren ; Christian Hong, University of Cincinnati ; Sookkyung Lim, University of Cincinnati ; Seongho Song, University of Cincinnati
12:05 PM Predictive Classification for Correlated Objects with Application to CT Perfusion Images of Liver Metastases Yuan Wang, MD Anderson Cancer Center ; Brian P. Hobbs, MD Anderson Cancer Center ; Jianhua Hu, MD Anderson Cancer Center ; Kim-Ahn Do, MD Anderson Cancer Center



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