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179 Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Statistical Methods in Single-Cell Transcriptomics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
G2S3: A Novel Gene Graph-Based Imputation Method for Single Cell RNA Sequencing Data
Weimiao Wu, Yale University; Qile Dai , Yale School of Public Health; Yunqing Liu, Yale School of Public Health; Xiting Yan, Yale School of Medicine; Zuoheng Wang, Yale University
Construct Cell Specific Networks from Single Cell Expression
Xuran Wang, Carnegie Mellon University; Mingyao Li, University of Pennsylvania; Edward B. Lee, University of Pennsylvania; David Choi, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
NISC: Accurate Clustering Through Neural Network-Imputation for Single-Cell RNA-Seq Data with High Sparsity
Xiang Zhang, University of Arizona; Siyang Cao, Department of Electrical & Computer Engineering, University of Arizona; Meng Lu, Interdisciplinary Program in Statistics and Data Science, University of Arizona; Nicholas Lytal, Interdisciplinary Program in Statistics and Data Science, University of Arizona; Lingling An, Interdisciplinary Program in Statistics and Data Science, University of Arizona
Modeling Dynamic Dependence Structure in Zero-Inflated Bivariate Count Data with Application to Single-Cell RNA Sequencing Data
Yen-Yi Ho, University of South Carolina; Zhen Yang, University of South Carolina
Zero-Inflated Random Forests for Genetic Regulatory Network Estimation in Single Cell RNA-Seq Data
Daniel Conn, University of Wisconsin, Madison; Kirby Johnson, University of Wisconsin, Madison; Emery Bresnick, University of Wisconsin, Madison; Sunduz Keles, University of Wisconsin, Madison
A Joint Deep Learning Model for Clustering and Denoising of ScRNA-Seq Data with Batch Effect Removal
Justin Lakkis, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania; David Wang, Graduate Group in Genomics and Computational Biology, University of Pennsylvania; Xiangjie Li, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College; Kui Wang, Department of Informatics Theory and Data Science, Nankai University; Gang Hu, School of Statistics and Data Science, Nankai University; Lyle Ungar, University of Pennsylvania; Mingyao Li, University of Pennsylvania