Keyword Search
Sessions Were Renumbered as of May 19.
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CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: RNA-Seq returned 31 record(s)
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Monday, 08/01/2016
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Normalization for Single-Cell RNA-Seq
Christina Kendziorski, University of Wisconsin; Rhonda Bacher, University of Wisconsin - Madison; Li-Fang Chu, Morgridge Institute for Research; James Thomson, Morgridge Institute for Research; Ron Stewart, Morgridge Institute for Research
8:35 AM
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Microbiome Normalization Methods: Effect on Ordination Analysis
Ekaterina Smirnova, University of Wyoming; Snehalata Huzurbazar, University of Wyoming; Glen Alan Satten, CDC; Liyang Diao, Yale University
9:15 AM
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Overcoming Bias and Batch Effects in RNAseq Data
Michael I. Love, Harvard T.H. Chan School of Public Health; Rafael A. Irizarry, Dana-Farber Cancer Institute
11:00 AM
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Testing for Differentially Expressed Pathways from Within-Subject Matched Pairs of RNA-Seq Data Sets
Grant Schissler, Statistics GIDP; Walter W. Piegorsch, University of Arizona; Yves A. Lussier, University of Arizona
2:20 PM
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Tuesday, 08/02/2016
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Selecting Covariates in Differential Expression Analysis of RNA-Seq Data
Yet Nguyen, Iowa State University; Dan Nettleton, Iowa State University
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Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh
8:35 AM
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Analysis of RNA-Seq Data Using a Family of Negative Binomial Models
Lili Zhao, University of Michigan; Weisheng Wu, University of Michigan; Dai Feng, Merck; Hui Jiang, University of Michigan; XuanLong Nguyen, University of Michigan
9:20 AM
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Excess False Positives in Negative-Binomial-Based Analysis of Data from RNA-Seq Experiments
David Rocke, University of California at Davis; Yilun Zhang, University of California at Davis
10:35 AM
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Power Analysis for RNA-Seq Differential Expression Studies
Lianbo Yu, The Ohio State University; Soledad Fernandez, The Ohio State University; Guy N. Brock, The Ohio State University
10:50 AM
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Determination of Phased Genotypes and Allele-Specific Expression at Isoform Level by Hybrid Sequencing
Kin Fai Au, University of Iowa; Benjamin Deonovic, University of Iowa; Jason Weirather, University of Iowa; Yunhao Wang, University of Iowa
10:55 AM
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A Bayesian Hypothesis-Testing Framework for Detecting Differentially Expressed Genes
Claudio Fuentes, Oregon State University; Luis Leon Novelo, The University of Texas Health Science Center at Houston; Sarah Emerson, Oregon State University
11:05 AM
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Moving Beyond the Single Gene: Integrative Pathway Analysis for RNA-Seq
Andrew Aschenbrenner, The University of Texas Health Science Center at Houston; Yun-Xin Fu, The University of Texas Health Science Center at Houston; David Loose, The University of Texas Health Science Center at Houston
11:35 AM
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Adapting Heterogeneous Tissue Expression Analysis Method to RNA-Seq Data
Megan Stefanski, University of Missouri - Kansas City; David Spade, University of Missouri - Kansas City
11:35 AM
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Detection of Differential Gene Expressions from Tumor RNA-Seq and Copy Number Data in the Presence of Tumor Heterogeneity
Jaeil Ahn, Georgetown University; Wenyi Wang, MD Anderson Cancer Center; Ying Yuan, MD Anderson Cancer Center
2:05 PM
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TSCAN: Pseudo-Time Reconstruction and Evaluation in Single-Cell RNA-Seq Analysis
Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:20 PM
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NMFP: A Non-Negative Matrix Factorization--Based Preselection Method to Increase Accuracy of Identifying mRNA Isoforms from RNA-Seq Data
Yuting Ye, University of California at Berkeley; Jingyi (Jessica) Li, University of California at Los Angeles
2:35 PM
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A Statistical Method for Cross-Species Analysis of RNA-Seq Data
Yered Pita-Juarez, Harvard; Rafael A. Irizarry, Dana-Farber Cancer Institute; Michael I. Love, Harvard T.H. Chan School of Public Health
2:50 PM
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Model-Based Clustering and Visualization of RNA-Seq Data
Kushal Dey, The University of Chicago; Matthew Stephens, The University of Chicago
3:05 PM
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On the Widespread and Critical Impact of Systematic Bias and Batch Effects in Single-Cell RNA-Seq Data
Stephanie C. Hicks, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health; Mingxiang Teng, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health; Rafael A. Irizarry, Dana-Farber Cancer Institute
3:20 PM
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Modeling the Ordering of Cell-Cycle Phase in Single-Cell RNA-Seq Data
Chiaowen Joyce Hsiao, The University of Chicago; Kushal Dey, The University of Chicago; PoYuan Tung, The University of Chicago; Yoav Gilad, The University of Chicago; Matthew Stephens, The University of Chicago
3:20 PM
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ScDD: A Statistical Approach for Identifying Differential Distributions in Single-Cell RNA-Seq Experiments
Keegan Korthauer, Dana-Farber Cancer Institute; Michael Newton, University of Wisconsin - Madison; Christina Kendziorski, University of Wisconsin
3:25 PM
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Wednesday, 08/03/2016
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SCDC: A Statistical Approach for Reducing Nuisance Variability Due to Oscillating Genes in Unsynchronized Single-Cell RNA-Seq Experiments
Jeea Choi, University of Wisconsin - Madison; Christina Kendziorski, University of Wisconsin; Ning Leng, Thomson Lab at the Morgridge Institute for Research; Li-Fang Chu, Thomson Lab at the Morgridge Institute for Research; Ron Stewart, Thomson Lab at the Morgridge Institute for Research; James Thomson, Morgridge Institute for Research
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Robust Modeling of EQTL Effect Sizes
John Palowitch; Andrey Shabalin, Virginia Collegiate University; Fred Wright, North Carolina State University; Andrew Nobel, The University of North Carolina at Chapel Hill; Yihui Zhou, North Carolina State University
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Adaptive Models for Profiling Tumor Evolution and Drug Response in Cancer Cell Subpopulations
Evan Johnson, Boston University
8:50 AM
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Robust Modeling of EQTL Effect Sizes
John Palowitch; Andrey Shabalin, Virginia Collegiate University; Fred Wright, North Carolina State University; Andrew Nobel, The University of North Carolina at Chapel Hill; Yihui Zhou, North Carolina State University
8:50 AM
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Detecting EQTLs: A Fast Analysis Protocol Using High-Dimensional Sequencing Data
Kai Kammers, Johns Hopkins Bloomberg School of Public Health; Ingo Ruczinski, Johns Hopkins Bloomberg School of Public Health; Margaret A. Taub, Johns Hopkins Bloomberg School of Public Health; Joshua Martin, The GeneSTAR Program; Lisa R. Yanek, The GeneSTAR Program; Lewis Becker, The GeneSTAR Program; Rasika A. Mathias, The GeneSTAR Program; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
9:05 AM
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SCDC: A Statistical Approach for Reducing Nuisance Variability Due to Oscillating Genes in Unsynchronized Single-Cell RNA-Seq Experiments
Jeea Choi, University of Wisconsin - Madison; Christina Kendziorski, University of Wisconsin; Ning Leng, Thomson Lab at the Morgridge Institute for Research; Li-Fang Chu, Thomson Lab at the Morgridge Institute for Research; Ron Stewart, Thomson Lab at the Morgridge Institute for Research; James Thomson, Morgridge Institute for Research
9:30 AM
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Flexible Prior Specification Through Empirical Reparameterization in Hierarchical Models for RNA-Seq Experiments
Andrew Lithio, Iowa State University; Dan Nettleton, Iowa State University
2:35 PM
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Accounting for Sample Quality and Other Unwanted Effects in Single-Cell RNA-Seq Data
Davide Risso, University of California at Berkeley; Michael Cole, University of California at Berkeley; John Ngai, University of California at Berkeley; Nir Yosef, University of California at Berkeley; Sandrine Dudoit, University of California at Berkeley
3:05 PM
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Batch Effects in Genomics Data
Florian Buettner; Oliver Stegle, EMBL-European Bioinformatics Institute
3:25 PM
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