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571 * Wed, 8/1/2012, 2:00 PM - 3:50 PM CC-Room 24A
RNA-Sequencing Data Analysis — Contributed Papers
Biometrics Section
Chair(s): Tieming Ji, Iowa State University
2:05 PM Analysis of RNA-Seq Data with Excess of Zeros Marcus Nunes, Penn State University ; James L Rosenberger, Penn State University
2:20 PM Statistical Power for Detecting Several Epigenetic Factors Using RNA-Seq Data Dao-Peng Chen, The Ohio State University ; Shili Lin, The Ohio State University
2:35 PM Clustering High-Throughput Sequencing Data with Poisson Mixture Models Andrea Rau, INRA GABI ; Gilles Celeux, Inria Saclay ; Marie-Laure Martin-Magniette, INRA URGV/AgroParisTech ; Cathy Maugis-Rabusseau, IMT/INSA
2:50 PM Higher-Order Asymptotics for Negative Binomial Regression Inferences from RNA-Sequencing Data Yanming Di, Oregon State University ; Sarah C Emerson, Oregon State University ; Daniel W Schafer, Oregon State University ; Jeff A Kimbrel, Oregon State University ; Jeff H Chang, Oregon State University
3:05 PM Using Finite Poisson Mixture Models for Gene Differential Expression Analysis in RNA-Seq Han Wu, Purdue University ; Yu Zhu, Purdue University
3:20 PM Differential Gene Expression Pattern Analysis Using Exon-Level RNA-Seq Data Zhaonan Sun, Purdue University ; Yu Zhu, Purdue University
3:35 PM Multivariate Profiling Approach to Inference on Differential Expression in RNA-Seq Data with Small Sample Size Sunghee Oh, Cincinnati Children's Hospital Medical Center ; Mi-Ok Kim, Cincinnati Children's Hospital Medical Center ; Seongho Song, University of Cincinnati



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