Contributed Papers

Statistical Models for Omics Data Integration

Wed, Aug 6, 2:00 PM - 3:50 PM Room CC-101D Music City Center

Haohao SuChair

Section on Statistics in Genomics and Genetics

7 Presentations

Interpretable integration of multiple spatial transcriptomics datasets with INSPIRE

2:05 PM - 2:20 PM

Co-authors: Jia Zhao (Yale University), Jia Zhao (Yale University), Xiangyu Zhang (Yale University), Gefei Wang (Yale University), Yingxin Lin, Tianyu Liu, Rui Chang (Yale University), Hongyu Zhao (Yale University)

Spatial transcriptomics Data integration Deep learning Data interpretation

MultiGATE: Integrative Analysis and Regulatory Inference in Spatial Multi-Omics Data

2:20 PM - 2:35 PM

Co-authors: Jinzhao Li (The Chinese University of Hong Kong), Jishuai MIAO (The Chinese University of Hong Kong), Jishuai MIAO (The Chinese University of Hong Kong), Ying Zhu (Fudan University), Can Yang (The Hong Kong University of Science and Technology), Zhixiang Lin (The Chinese University of Hong Kong)

Data Integration Spatial multi-omics data

Nonlinear Embedding and Integration of Omics Data: A Fast and Tuning-Free Approach

2:35 PM - 2:50 PM

Co-authors: Tianwei Yu, Shengjie Liu (The Chinese University of Hong Kong, Shenzhen), Tianwei Yu

Nonlinear Dimensionality Reduction Single-cell Analysis Multi-Omics Integration

HighDimMixedModels.jl: Robust high-dimensional mixed-effects models across omics data

2:50 PM - 3:05 PM

Co-authors: Evan Gorstein, Rosa Aghdam (University of Wisconsin-Madison), Evan Gorstein, Claudia Solis-Lemus (University of Wisconsin-Madison)

Coordinate descent Penalized likelihood Mixed-effects Omics Variable selection

Constructing Multi-Omic Networks Related to Schizophrenia for the dACC Dataset

3:05 PM - 3:20 PM

Co-authors: Maya Shen (Carnegie Mellon University), Bernie Devlin (Univ of Pittsburgh), Maya Shen (Carnegie Mellon University), Lambertus Klei (University of Pittsburgh), Kathryn Roeder (Carnegie Mellon University)

Multi-omics Canonical correlation analysis (CCA)Sparse canonical correlation analysis (sCCA)Multi-omic networks Case-control covariance differences Feature subsampling

Evaluation of Rare Variant Association Methods When Incorporating Data from Multiple Sources

3:20 PM - 3:35 PM

Co-authors: Jessica Murphy, Audrey Hendricks (University of Colorado Denver), Jessica Murphy

statistical genetics rare variant association methods public summary data external controls

Optimal Weighting for Integrative Association Tests: Application to Whole-Genome Sequencing Studies

3:35 PM - 3:50 PM

Co-authors: Hong Zhang (Pfizer Inc.), Hong Zhang (Pfizer Inc.), Ming Liu (Worcester Polytechnic Institute), Zheyang Wu (WPI), John Landers (UMass Chan Medical School)

Data integration p-value combination signal detection weighting whole genome sequencing study