Conference Program Home
  My Program

All Times EDT

Legend:
* = applied session       ! = JSM meeting theme

Activity Details

428 ! Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-155
Clustering and Dimension-Reduction Methods: From Omics to Single-Cell Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Tiantian Yang, Boston University
10:35 AM Exploring Regularized Regression Methods to Improve the Accuracy and Consistency of Component-Wise Sparse Mixture Regression Clustering for High-Dimensional Data
Bo NMN Zhang, University of Kansas Medical Center; Devin Koestler, University of Kansas Medical Center; Prabhakar Chalise, University of Kansas Medical Center; Jianghua He, University of Kansas Medical Center; Jinxiang Hu, University of Kansas Medical Center
10:50 AM Data-Type Weighted Multi-Omics Spectral Clustering for Disease Subtyping
Peifeng Ruan, Yale University; Hongyu Zhao, Yale University
11:05 AM Gene Embedding of Omic Data Using Gene Annotations
Zhexiao Lin, University of Washington; Wei Sun, Fred Hutchinson Cancer Research Center
11:20 AM Denoising and Inference for Single Cell Chromosome Conformation Capture Data (ScHi-C) by Large-Scale Unbiased Tensor Decomposition
Kwangmoon Park, University of Wisconsin-Madison; Sunduz Keles, University of Wisconsin, Madison
11:35 AM Improvement to GLASS/Maximum Tree Method of Species Tree Inference from Estimated Gene Trees Using Measurement Error Modified Single Linkage Clustering
Sarah Alver, University of New Mexico; James Degnan, University of New Mexico; Fletcher Christensen, University of New Mexico
11:50 AM ScGAD: Single-Cell Gene Associating Domain Scores for Exploratory Analysis of ScHi-C Data
Siqi Shen, University of Wisconsin - Madison; Sunduz Keles, University of Wisconsin, Madison; Ye Zheng, Fred Hutchinson Cancer Research Center
12:05 PM Differential Inference for Single-Cell RNA-Seq Data
Fangda Song, The Chinese University of Hong Kong, Shenzhen; Yingying Wei, The Chinese University of Hong Kong