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Keyword Search Criteria: differential expression returned 14 record(s)
Sunday, 07/29/2018
Sample Size and Power Analysis for RNA-Seq Differential Expression in Paired Study Designs
Masha Kocherginsky, Northwestern University; Kwang-Youn Kim, Northwestern University ; Daniela E Matei, Northwestern University
4:45 PM

Monday, 07/30/2018
A Correlated Random Effects Hurdle Model for Detecting Differentially Expressed Genes in Discrete Single Cell RNA Sequencing Data
Michael Sekula, University of Louisville; Jeremy Gaskins, University of Louisville; Susmita Datta, University of Florida
2:05 PM

Bayesian Latent Hierarchical Model for Transcriptomic Meta-Analysis to Detect Biomarkers with Clustered Meta-Patterns of Differential Expression Signals
Zhiguang Huo, University of Florida; Chi Song, Ohio State University; George Tseng, University of Pittsburgh
3:05 PM

Tuesday, 07/31/2018
NanoStringDiffWeb: a Web-Based Tool for Differential Expression Analysis of NanoString NCounter Data
Tingting Zhai, University of Kentucky; Hong Wang, Eli Lilly and Company; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky; Jinpeng Liu, Markey Cancer Center, University of Kentucky; Isaac Hands, Markey Cancer Center, University of Kentucky; Eric B. Durbin, Markey Cancer Center, University of Kentucky; Heidi Weiss, Markey Cancer Center, University of Kentucky


NanoStringDiffWeb: a Web-Based Tool for Differential Expression Analysis of NanoString NCounter Data
Tingting Zhai, University of Kentucky; Hong Wang, Eli Lilly and Company; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky; Jinpeng Liu, Markey Cancer Center, University of Kentucky; Isaac Hands, Markey Cancer Center, University of Kentucky; Eric B. Durbin, Markey Cancer Center, University of Kentucky; Heidi Weiss, Markey Cancer Center, University of Kentucky
8:45 AM

General and Flexible Methods for Signal Extraction from Single-Cell RNA-Seq Data
Davide Risso, Weill Cornell Medicine
11:00 AM

Wednesday, 08/01/2018
Assessing Equivalent and Inverse Change in Genomic Data from Multiple Experiments: a New Approach to Functional Analysis
Jeffrey Thompson, The University of Kansas Medical Center


Testing Differential Gene Expression from Single-Cell RNA-Seq Data Using Bayes Deconvolusion
Jingyi Zhai, University of Michigan; Hui Jiang, University of Michigan


ScImpute: Accurate and Robust Imputation for Single Cell RNA-Seq Data
Jingyi Li, University of California, Los Angeles; Wei Li, University of California, Los Angeles
8:55 AM

Differential Expression Analysis of RNA-Seq Data with Integrated Likelihood Method
Yilun Zhang, University of Clifornia, Davis; David Rocke, University of California, Davis
2:05 PM

Cell Type-Aware Differential Expression Analysis for RNA-Seq Data
Chong Jin, UNC-Chapel Hill; Wei Sun, Fred Hutchinson Cancer Research Center; Mengjie Chen, University of Chicago; Danyu Lin, University of North Carolina
2:20 PM

DiPhiSeq: Robust Comparison of Expression Levels on RNA-Seq Data with Large Sample Sizes
Alicia Lamere, Bryant University; Jun Li, University of Notre Dame
2:35 PM

Variance Component Score Test for Differential Expression in RNAseq Studies
Denis Agniel, RAND Corporation; Boris Hejblum, Universite de Bordeaux
3:05 PM

A Data Adjustment-Tolerant Strategy for RNA-Seq Differential Gene Expression Analysis
Guoshuai Cai, Arnold School of Public Health, University of South Carolina; Jennifer M. Franks, Geisel School of Medicine at Dartmouth; Michael L. Whitfield, Geisel School of Medicine at Dartmouth
3:20 PM