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