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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

351 * ! Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-101
Statistical Methods for Single-Cell Genomics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Lingling An, University of Arizona
10:35 AM Feature Selection and Dimension Reduction for Single Cell RNA-Seq Based on a Multinomial Model

Frederick William Townes, Harvard Biostatistics; Martin Aryee, Massachusetts General Hospital; Stephanie Hicks, Johns Hopkins Bloomberg School of Public Health; Rafael Irizarry, Harvard University
10:50 AM SCINA: Semi-Supervised Analysis of Single Cells in Silico

Ze Zhang, University of Texas Southwestern Medical Center at Dallas; Tao Wang, University of Texas Southwestern Medical Center; Payal Kapur, University of Texas Southwestern Medical Center; Xinlei Wang, Southern Methodist University; Gary Hon, University of Texas Southwestern Medical Center; James Brugarolas, University of Texas Southwestern Medical Center
11:05 AM Flexible Experimental Designs for Valid Single-Cell RNA-Sequencing Experiments Allowing Batch Effects Correction
Fangda Song, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
11:20 AM Correcting Batch Effects in Single Cell RNA Sequencing Data Using Sparse Supervised Canonical Correlation (SCCA) Analysis
Wenlan Zang, Yale’s Section of Pulmonary, Critical Care, and Sleep Medicine (Yale-PCCSM); Michael Kane, Yale; Jen-hwa Chu, Yale University School of Medicine
11:35 AM Single-Cell Transcriptome and Regulome Data Integration
Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Weixiang Fang, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
11:50 AM Exponential-Family Embedding with Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data
Kevin Lin, Carnegie Mellon University, Department of Statistics and Data Science; Jing Lei, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
12:05 PM TWO-SIGMA-Geneset: TWO-Component SInGle Cell Model-Based Association Method for Gene Set Testing
Eric Van Buren, University of North Carolina at Chapel Hill; Di Wu, University of North Carolina at Chapel Hill; Ming Hu, Cleveland Clinic; Yun Li, University of North Carolina at Chapel Hill