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Keyword Search Criteria: gene expression returned 32 record(s)
Sunday, 07/30/2017
Detecting Differential Gene Expression by Single-Cell RNA Sequencing
Mingyao R Li, University of Pennsylvania; Cheng Jia, University of Pennsylvania; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania


An Integrative Genomics Approach to Infer Gene Expression Statistical Causal Network
Akram Yazdani, Icahn School of Medicine at Mount Sinai ; Azam Yazdani, The University of Texas School of Public Health, Houston; Panos Roussos, Icahn School of Medicine at Mount Sinai
5:05 PM

Monday, 07/31/2017
High-Dimensional Mediation Analysis of the Effect of Varenicline on Alcohol Consumption in Mice
John J. Dziak, Penn State University; Arielle Deutsch, Penn State University; Runze Li, The Pennsylvania State University; Helen M. Kamens, Penn State University


Bayesian Multi-Study Factor Analysis in High-Dimensional Biological Data
Roberta De Vito, Princeton
9:15 AM

Influence of Biological Conditions to Temporal Gene Expressions Based on Variance Analysis
Dianliang Deng, University of Regina
10:55 AM

High-Dimensional Mediation Analysis of the Effect of Varenicline on Alcohol Consumption in Mice
John J. Dziak, Penn State University; Arielle Deutsch, Penn State University; Runze Li, The Pennsylvania State University; Helen M. Kamens, Penn State University
11:05 AM

Unified Methods for Variable Selection in Large-Scale Genomic Studies with Censored Survival Outcomes
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
3:05 PM

Tuesday, 08/01/2017
Examination of Methods for Gene Expression Normalization in EQTL Studies
Sean McCabe, University of North Carolina at Chapel Hill; Danyu Lin, University of North Carolina; Michael Love, University of North Carolina Chapel Hill


A Bayesian Approach to Analyzing Gene Expression in Heterogeneous Tissue Samples
Megan Stefanski, University of Missouri - Kansas City; David Spade, University of Missouri - Kansas City


Nonparametric Variable Screening and Preselection for Functional Data with Application to Time Course Gene Expression Profiles
Jan Gertheiss, Clausthal University of Technology
10:55 AM

Gene Expression Variability and the Analysis of Large-Scale RNA-Seq Studies with the MDSeq
Z. John Daye, None; Di Ran, University of Arizona
11:20 AM

Bayesian Analysis for Multi-Subject Time Course RNA-Seq Experiments
Allison Tegge, Virginia Tech; Shiqi Cui, Google; Marco Ferreira, Virginia Tech
11:50 AM

Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments
Stephanie 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; F. William Townes, Harvard T.H. Chan School of Public Health; Rafael Irizarry, Harvard School of Public Health
2:20 PM

Iteratively Adjusted Surrogate Variable Analysis (IA-SVA) Uncovers Hidden Heterogeneity in Bulk and Single Cell Transcriptomic Data
Donghyung Lee
2:50 PM

Wednesday, 08/02/2017
Method Selection and Assumption Evaluation: Applications to Gene Expression Data
Demba Fofana


Super-Delta: a New Approach That Combines Gene Expression Data Normalization and Differential Expression Test
Yuhang Liu, Florida State University; Jinfeng Zhang, Florida State University; Xing Qiu, University of Rochester


Regulation of Cancer Testis Antigen Rich Whole Transcriptome Profiling of Ovarian Tumors
Kevin H Eng, Roswell Park Cancer Institute; Wenjun He, Roswell Park Cancer Institute; Kayla Morrell, Roswell Park Cancer Institute; Anthony Milliotto, Roswell Park Cancer Institute; Kunle Odunsi, Roswell Park Cancer Institute
8:35 AM

Method Selection and Assumption Evaluation: Applications to Gene Expression Data
Demba Fofana
9:05 AM

A Bayesian Lasso Functional Clustering Model
Alejandro Murua, Universite de Montreal; Folly Adjogou, Université de Montréal; Wolfgang Raffelsberger, Institut de Génetique et de Biologie Moléculaire et Cellulaire, Université de Strasbourg
9:15 AM

It's All About the Residuals: Estimating Gene Networks by Leveraging Residual Structure in Multi-Tissue Transcriptomic Data
Matthew McCall, University of Rochester Medical Center
9:35 AM

Score Test for Case-Cohort Design Applied to High-Throughput Gene Expression Analysis
Huining Kang, University of New Mexico; John Carl Pesko, University of New Mexico
9:35 AM

Super-Delta: a New Approach That Combines Gene Expression Data Normalization and Differential Expression Test
Yuhang Liu, Florida State University; Jinfeng Zhang, Florida State University; Xing Qiu, University of Rochester
10:00 AM

Two-Step Mixed Model Approach to Analyzing Differential Alternative RNA Splicing
Li Luo, University of New Mexico Comprehensive Cancer Center; Huining Kang, University of New Mexico; Scott A. Ness, University of New Mexico Comprehensive Cancer Center; Christine A. Stidley, University of New Mexico
10:35 AM

Empirical Bayes Estimation of Gene Expression Fold Change
Abbas Rahal, University of Ottawa; Marta Padilla, University of Ottawa; David R. Bickel, University of Ottawa
10:50 AM

Discovering Non-Genetic Hidden Variates in Gene Expression Data in the Presence of Polygenicity
Mark Abney
11:05 AM

An Empirical Bayes Method to Predict Gene Expression Levels in a Network
Yan Ren, University of Cincinnati; Siva Sivaganesan, University of Cincinnati; Mario Medvedovic , University of Cincinnati
11:20 AM

Genome-Wide Study of MiRNA Regulated Gene Expressions Networks in Association with Emphysematous Lung Destruction
Chong Ma, University of South Carolina Columbia; Yen-Yi Ho, University of South Carolina
11:50 AM

dtangle: a fast and accurate deconvolution estimator
Gregory Hunt, University of Michigan; Johann Gagnon-Bartsch, University of Michigan; Saskia Freytag, Walter and Eliza Hall Institute of Medical Research; Melanie Bahlo, Walter and Eliza Hall Institute of Medical Research
12:05 PM

A Semi-parametric Bayesian Approach for Detection of Gene Expression Heterosis with RNA-Seq Data
Ran Bi, Iowa State University; Peng Liu, Iowa State University
2:35 PM

Thursday, 08/03/2017
Matched Bipartite Community Detection with Node Covariates
Jingyi Li, UCLA; Zahra S. Razaee, UCLA; Arash A. Amini, UCLA
9:35 AM

Models for Dependent Data in Single Cell Gene Expression
Andrew McDavid, University of Rochester Medical Center - Rochester, NY
10:50 AM

FDR Control of the High-Dimensional TOST Tests
Jing Qiu, University Of Delaware; Yue Qi, SAS
11:05 AM

 
 
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