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H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: single-cell RNA-seq returned 9 record(s)
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Monday, 08/01/2016
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Normalization for Single-Cell RNA-Seq
Christina Kendziorski, University of Wisconsin; Rhonda Bacher, University of Wisconsin - Madison; Li-Fang Chu, Morgridge Institute for Research; James Thomson, Morgridge Institute for Research; Ron Stewart, Morgridge Institute for Research
8:35 AM
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Tuesday, 08/02/2016
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TSCAN: Pseudo-Time Reconstruction and Evaluation in Single-Cell RNA-Seq Analysis
Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:20 PM
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On the Widespread and Critical Impact of Systematic Bias and Batch Effects in Single-Cell RNA-Seq Data
Stephanie C. 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; Rafael A. Irizarry, Dana-Farber Cancer Institute
3:20 PM
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Modeling the Ordering of Cell-Cycle Phase in Single-Cell RNA-Seq Data
Chiaowen Joyce Hsiao, The University of Chicago; Kushal Dey, The University of Chicago; PoYuan Tung, The University of Chicago; Yoav Gilad, The University of Chicago; Matthew Stephens, The University of Chicago
3:20 PM
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ScDD: A Statistical Approach for Identifying Differential Distributions in Single-Cell RNA-Seq Experiments
Keegan Korthauer, Dana-Farber Cancer Institute; Michael Newton, University of Wisconsin - Madison; Christina Kendziorski, University of Wisconsin
3:25 PM
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Wednesday, 08/03/2016
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SCDC: A Statistical Approach for Reducing Nuisance Variability Due to Oscillating Genes in Unsynchronized Single-Cell RNA-Seq Experiments
Jeea Choi, University of Wisconsin - Madison; Christina Kendziorski, University of Wisconsin; Ning Leng, Thomson Lab at the Morgridge Institute for Research; Li-Fang Chu, Thomson Lab at the Morgridge Institute for Research; Ron Stewart, Thomson Lab at the Morgridge Institute for Research; James Thomson, Morgridge Institute for Research
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SCDC: A Statistical Approach for Reducing Nuisance Variability Due to Oscillating Genes in Unsynchronized Single-Cell RNA-Seq Experiments
Jeea Choi, University of Wisconsin - Madison; Christina Kendziorski, University of Wisconsin; Ning Leng, Thomson Lab at the Morgridge Institute for Research; Li-Fang Chu, Thomson Lab at the Morgridge Institute for Research; Ron Stewart, Thomson Lab at the Morgridge Institute for Research; James Thomson, Morgridge Institute for Research
9:30 AM
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Accounting for Sample Quality and Other Unwanted Effects in Single-Cell RNA-Seq Data
Davide Risso, University of California at Berkeley; Michael Cole, University of California at Berkeley; John Ngai, University of California at Berkeley; Nir Yosef, University of California at Berkeley; Sandrine Dudoit, University of California at Berkeley
3:05 PM
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Batch Effects in Genomics Data
Florian Buettner; Oliver Stegle, EMBL-European Bioinformatics Institute
3:25 PM
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