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Keyword Search Criteria: RNA-seq returned 21 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


Addressing Between-Study Heterogeneity and Cross Platform Data Integration for Gene Signature Selection and Clinical Prediction
Naim Rashid, University of North Carolina at Chapel Hill; Quefeng Li, The University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC
3:20 PM

Monday, 07/31/2017
Differential Network Analysis Based on Next Generation Sequencing Data
Tyler Grimes, University of Florida; Somnath Datta, University of Florida


Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh


Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh
8:40 AM

Tuesday, 08/01/2017
PAIRADISE: Paired Analysis of Differential Isoform Expression from Replicate RNA-Seq Data
Levon Demirdjian, University of California Los Angeles; Shihao Shen, University of California Los Angeles; Ying Nian Wu, University of California Los Angeles; Yi Xing, University of California Los Angeles


An Empirical Bayes Approach for Differential Expression Analysis of RNA-Seq Data
Anqi Zhu; Michael Love, University of North Carolina Chapel Hill; Joseph G Ibrahim, UNC


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


Slingshot: Cell Lineage and Pseudotime Inference for Single-Cell Transcriptomics
Kelly Street, Univ of California - Berkeley; David Risso, Department of Healthcare Policy and Research, Weill Cornell Medicine; Russell B. Fletcher, Department of Molecular and Cell Biology, UC Berkeley; Diya Das, Department of Molecular and Cell Biology, UC Berkeley; John Ngai, Department of Molecular and Cell Biology & Helen Wills Nenuroscience Institute, UC Berkeley; Nir Yosef, Department of Electrical Engineering and Computer Sciences, UC Berkeley; Elizabeth Purdom, Department of Statistics, UC Berkeley; Center for Computational Biology, UC Berkeley; Sandrine Dudoit, Division of Biostatistics, School of Public Health, UC Berkeley; Department of Statistics


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

Assessment of RNA-Seq Differential Expression Methods Based on TCGA Data
Guy Brock, Center for Biostatistics, The Ohio State University College of Medicine; Meredith McCormack-Mager, Center for Biostatistics, The Ohio State University College of Medicine; Yu Lianbo, Center for Biostatistics, The Ohio State University College of Medicine; Soledad Fernandez , Center for Biostatistics, The Ohio State University College of Medicine
11:35 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

Extracting Insights from Genomic Data via Complex Interactive Heatmaps
Alicia Schep, Stanford School of Medicine
2:30 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
Advances and Challenges of Single Cell RNA-Seq Data Analysis
Susmita Datta, University of Florida
8:55 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

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
A Bayesian Hierarchical Model for Single-Cell RNA-Sequencing Data Clustering
Yiyi Liu, Yale University; Hongyu Zhao, Yale University
10:35 AM

Wasserstein Distance Optimization Using the Brenier Map
Samson Koelle, UNIVERSITY OF WASHINGTON
11:35 AM

 
 
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