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Activity Details

142 * ! Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-337
Recent Statistical Advances in Single-Cell RNA-Seq Analysis — Invited Papers
Committee on Award of Outstanding Statistical Application , Section on Statistics in Genomics and Genetics , Section on Statistics in Epidemiology
Organizer(s): Jung-Ying Tzeng, North Carolina State University
Chair(s): Jung-Ying Tzeng, North Carolina State University
10:35 AM SCnorm: a Quantile-Regression Based Approach for Robust Normalization of Single-Cell RNA-Seq Data Christina Kendziorski, University of Wisconsin - Madison
11:00 AM On the Widespread and Critical Impact of Systematic Bias and Batch Effects in Single-Cell RNA-Seq Data Rafael Irizarry, Harvard School of Public Health
11:25 AM Statistical Methods for Assessing Transcriptional Changes and Characterizing Heterogeneity in Single-Cell RNA-Seq Data Raphael Gottardo, Fred Hutchinson Cancer Research Center
11:50 AM Global Spectral Clustering in Dynamic Gene Expression Networks Kathryn Roeder, Carnegie Mellon University ; Fuchen Liu, Carnegie Mellon University ; David Choi, Carnegie Mellon University
12:15 PM Floor Discussion
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