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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: gene expression returned 38 record(s)
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Sunday, 07/31/2016
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An Empirical Bayes Approach to Adjust for Hidden Confounders in Large-Scale Gene Expression Studies
David Gerard, The University of Chicago; Matthew Stephens, The University of Chicago
2:35 PM
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Big Data Regression and Prediction for High-Throughput Genomic Data
Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Ben Sherwood, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Fang Du, Johns Hopkins Bloomberg School of Public Health; Jiawei Bai, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:50 PM
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A Bayesian Decision Theoretic Methodology for Analyzing Gene Expression Data Under Skewed Alternatives
Naveen Bansal, Marquette University
2:50 PM
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Bayesian Nonlocal Prior-Based Gene Expression Data Analysis Using Chi-Square-Type Pathway Scores
Nilotpal Sanyal, Texas A&M University; Wenyi Wang, MD Anderson Cancer Center; Anirban Bhattacharya, Texas A&M University; Valen E. Johnson, Texas A&M University
3:05 PM
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Integration of Significance Information from Independent Gene Expression Studies
Nusrat Jahan, James Madison University; Aylin Alin, Dokuz Eylul University
4:35 PM
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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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Estimating Tumor Purity/Ploidy and Subclone Structure Using Multiple Types of Omic Data
Chong Jin, The University of North Carolina at Chapel Hill; Wei Sun, Fred Hutchinson Cancer Research Center; Mengjie Chen, The University of North Carolina at Chapel Hill; Danyu Lin, The University of North Carolina at Chapel Hill
9:35 AM
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Testing High-Dimensional Differential Matrices, with Applications to Detecting Schizophrenia Genes
Kathryn Roeder, Carnegie Mellon University; Lingxue Zhu, Carnegie Mellon University; Jing Lei, Carnegie Mellon University
11:25 AM
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Tuesday, 08/02/2016
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Statistics and Biology: Stories with Heart
Elizabeth Ribble, Metropolitan State University of Denver
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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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Statistical Models for Single Cell RNA RNA Analysis
Nancy Zhang, University of Pennsylvania; Cheng Jia, University of Pennsylvania; Yuchao Jiang, University of Pennsylvania; Mingyao Li, University of Pennsylvania
10:55 AM
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Integrated DNA Mutation, Copy Number, and Gene Expression Analysis Reveals a Highly Reproducible Prognostics Marker in Lung Adenocarcinomas
Hao Ho, University of California at Los Angeles
11:35 AM
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Statistics and Biology: Stories with Heart
Elizabeth Ribble, Metropolitan State University of Denver
11:50 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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Using IMRE and Dual KS to Select MicroRNAs for Predicting Prostate Cancer
Yarong Yang, North Dakota State University
2:20 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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PROMISE-ME: A Robust Method for Integrated Analysis of DNA Methylation, Gene Expression, and Multiple Biologically Related Clinical and Pharmacological Outcomes
Stanley Pounds, St. Jude Children's Research Hospital; Xueyuan Cao, St. Jude Children's Research Hospital; Tong Lin, St. Jude Children's Research Hospital
2:50 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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Wednesday, 08/03/2016
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Super-Delta: A New Approach on Microarray Data Normalization and Its Applications
Yuhang Liu, Florida State University; Xing Qiu, Rochester University; Jinfeng Zhang, Florida State University
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A Pseudotime-Series--Based Analysis for Single-Cell Sequencing Data Reveals Directed Associations Between Gene Expression Data
Alicia Taylor Specht, University of Notre Dame; Jun Li, University of Notre Dame
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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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Hybrid-Network: A Bayesian Approach
Demba Fofana; Ebenezer Olusegun George, University of Memphis; Dale Bowman, University of Memphis
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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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A Pseudotime-Series--Based Analysis for Single-Cell Sequencing Data Reveals Directed Associations Between Gene Expression Data
Alicia Taylor Specht, University of Notre Dame; Jun Li, University of Notre Dame
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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Hybrid-Network: A Bayesian Approach
Demba Fofana; Ebenezer Olusegun George, University of Memphis; Dale Bowman, University of Memphis
9:45 AM
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Dirichlet Process Mixture Model for High-Dimensional Gene Expression Data
Eric Mittman, Iowa State University; Jarad Niemi, Iowa State University
9:50 AM
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A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data
Jiehuan Sun, Yale University; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University; Joshua Warren, Yale University
10:05 AM
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Modeling an Ordinal Outcome in High Dimensions with Nonparametric Feature Augmentation and Proportional Odds Boosting
Kyle Ferber, Virginia Commonwealth University; Kellie J. Archer, Virginia Commonwealth University
10:35 AM
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Information Based Clustering of Gene Expression Signatures in Primary Breast Carcinoma Patients
Milan Bimali, University of Kansas School of Medicine; Michael Brimacombe, University of Kansas Medical Center
11:05 AM
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Comparisons of Statistical Methods for Determining Gene Expression Signatures to Predict Prostate Cancer Response
Dirk Moore, Rutgers School of Public Health; Qian Dong, Celgene
11:05 AM
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Random Forests for High-Throughput Omics Data and Survival Endpoints: A Tour of the Horizon
Andreas Ziegler, University of Lübeck; Marvin N. Wright, University of Lübeck; Matthias Schmid, University of Bonn
2:05 PM
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Batch Effects in Network Inference
Claire Ruberman
2:05 PM
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Integrating Cell Line and Patient Genomic Data for Drug Response Prediction
Ker-Chau Li, Institute of Statistical Science, Academia Sinica
2:05 PM
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