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Activity Details

408 Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-348
Methods for Single-Cell Genomic Analysis — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Ryan Sun, Harvard University
2:20 PM 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
2:35 PM Number of Cells to Identify a Novel Subpopulation from a Single Cell RNA Sequencing Kyung In Kim, Jackson Laboratory
2:50 PM Iteratively Adjusted Surrogate Variable Analysis (IA-SVA) Uncovers Hidden Heterogeneity in Bulk and Single Cell Transcriptomic Data Donghyung Lee
3:05 PM Next Generation Analysis Tools for Single-Cell Functional Genomic Data Weiqiang Zhou, Johns Hopkins University Bloomberg School of Public Health ; Zhicheng Ji, Johns Hopkins University Bloomberg School of Public Health ; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
3:20 PM Statistical Analysis of Single-Cell Chromatin Accessibility Data (ScATAC-Seq) Peter Hickey, Johns Hopkins University ; Kasper Hansen, Johns Hopkins Biostatistics
3:35 PM A Dirichlet Mixture Model for Clustering Droplet-Based Single Cell Transcriptomic Data Wei Chen, University of Pittsburgh ; Zhe Sun, University of Pittsburgh ; Ke Deng, Tsinghua University ; Ming Hu, Cleveland Clinic
 
 
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