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Activity Details

328 Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
Statistical Methods for Multi-Omics Data Integration — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
IMIX: A Multivariate Mixture Model Framework for Integrative Analysis of Multiple Types of Omics Data
Ziqiao Wang, The University of Texas MD Anderson Cancer Center; Peng Wei, The University of Texas MD Anderson Cancer Center
A Reference-Guided Approach for Epigenetic Characterization of Single Cells
Zhixiang Lin; Shengquan Chen, Department of Automation, Tsinghua University; Guanao Yan, Department of Statistics, the Chinese University of Hong Kong; Wenyu Zhang, Department of Statistics, the Chinese University of Hong Kong; Jinzhao Li, Department of Statistics, the Chinese University of Hong Kong; Rui Jiang, Department of Automation, Tsinghua University
Integrative Analysis of RNA-Seq and CLIP-Seq Data Sets with SURF
Fan Chen, University of Wisconsin; Sunduz Keles, University of Wisconsin, Madison
A Three-Groups Bayesian Approach for Combining Information from RNA-Seq and GWAS Data with Applications to Parkinson's Disease
Daisy Philtron, Pennsylvania State University; Benjamin A Shaby, Colorado State University; Vivian Cheng, Pennsylvania State University
Bootstrap Evaluation of Association Matrices (BEAM): A Robust Method for Integrated Analysis of Multiple Omic Data Sets with Multiple Clinical Outcomes
Stanley Pounds, St. Jude Children's Research Hospital; Xueyuan Cao, University of Tennessee Health Science Center; Lei Shi, St. Jude Children's Research Hospital; Huiyun Wu, St. Jude Children's Research Hospital; Cheng Cheng, St. Jude Children's Research Hospital
Distance-Based Analysis for Longitudinal Multi-Omic Data
Anna Plantinga, Williams College