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484 Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Methods for High-Dimensional Data in Genetics and Genomics — Contributed Papers
Biometrics Section
Chair(s): Olivia Hogue, Cleveland Clinic and Case Western Reserve University
Robust Estimation of Large Covariance Matrix for Compositional Data with Application to Microbial Inter-Taxa Analysis
Arun Srinivasan, Penn State University; Danning Li, Jilin University; Lingzhou Xue, Penn State University and NISS; Xiang Zhan, Pennsylvania State University
Covariate Adaptive Family-Wise Error Rate Control for Genome-Wide Association Studies
Huijuan Zhou, Texas A&M University; Xianyang Zhang, Texas A&M University; Jun Chen, Mayo Clinic
A Novel Method for Differential Gene Expression Analysis in Single-Cell RNA Sequencing Data with Multiple Subjects
Yunqing Liu, Yale School of Public Health; Zuoheng Wang, Yale University; Xiting Yan, Yale School of Medicine
A Bayesian Model Averaging Approach for High-Throughput RNA-Seq Count Data (BMAseq) and Its Applications
Lingsong Meng, University of Florida; Xiaoting Xing, Sanofi; Xi Kathy Zhou, Weill Medical College of Cornell University
Variable Selection in Nonparametric Additive Quantile Regression for Genomic Data with Priori Information
Peitao Wu, Boston University; Josee Dupuis, Boston University School of Public Health; Ching-Ti Liu, Boston University