Novel Statistical Approaches for Studying Multi-omics Data
Videos from BIRS Workshop
Nilanjan Chatterjee, Johns Hopkins University
Monday Jul 14, 2025 09:09 - 09:49
Minicourse: Emerging Biobanks and Opportunities for Integrative Analysis
Andy Dahl, University of Chicago
Monday Jul 14, 2025 10:49 - 11:09
Gene-environment interaction effects partly depend on the phenotype measurement scale
Xuanyao Liu, University of Chicago
Monday Jul 14, 2025 11:15 - 11:38
Improving GWAS Functional Interpretation with CACTI: A High-Power cQTL Mapping Framework
Jessica Dennis, University of British Columbia
Monday Jul 14, 2025 14:15 - 14:38
Novel approaches to study DNA methylation as a marker of gene-environment interplay in population-based biobanks
Qingling Duan, Queen's University
Monday Jul 14, 2025 14:44 - 15:16
Integrative multi-omics analyses to uncover mechanisms of asthma and atopy in the CHILD Cohort Study
Rong Ma, Harvard University
Monday Jul 14, 2025 15:41 - 16:05
Entropic optimal transport eigenmaps for multiomic data integration
Daniel Taliun, McGill University
Monday Jul 14, 2025 16:11 - 16:43
Building and applying custom reference panels tailored to population-based biobanks
Michael Epstein, Emory University
Tuesday Jul 15, 2025 08:59 - 09:38
Minicourse: Identifying condition-related cell-cell communication events using supervised tensor analysis.
Yun Li, University of North Carolina
Tuesday Jul 15, 2025 09:45 - 10:12
Investigating spatial omics data with StarTrail and STimage-1K4M
Nicholas Mancuso, University of Southern California
Tuesday Jul 15, 2025 10:47 - 11:14
Efficient count-based models improve power and robustness for large-scale single-cell eQTL mapping.
Wei Sun, Fred Hutchinson Cancer Center
Tuesday Jul 15, 2025 14:19 - 14:37
Integrating scRNA-seq and scATAC-seq to infer gene regulatory network
Jichun Xie, Duke University
Wednesday Jul 16, 2025 09:00 - 09:27
A new generative foundation model for harmonized, comprehensive analysis of single-cell and spatial transcriptomics
Kyle Coleman, Cedars-Sinai Medical Center
Wednesday Jul 16, 2025 09:32 - 09:53
Multi-modal spatial omics modeling at cellular resolution with MISO
Linghua Wang, University of Texas MD Anderson Cancer Center
Wednesday Jul 16, 2025 10:47 - 11:10
Unveiling Tumor Ecosystems with Integrative Spatial Transcriptomics and Digital Pathology
Derek Oldridge, University of Pennsylvania
Wednesday Jul 16, 2025 11:15 - 11:40
Spatialomics and AI-driven image analysis in translational pathology research
Michael Wu, Fred Hutchinson Cancer Center
Thursday Jul 17, 2025 08:59 - 09:43
Minicourse: Microbiome data integration
Jing Ma, Fred Hutchinson Cancer Center
Thursday Jul 17, 2025 09:48 - 10:12
Network-based integration of microbiome and metabolomic data
Rebecca Deek, University of Pittsburgh
Thursday Jul 17, 2025 11:11 - 11:35
Benchmarking and improving statistical methods for microbiome multiomics integration
Jingyi Jessica Li, University of California Los Angeles
Thursday Jul 17, 2025 13:44 - 14:08
scDesignPop: a flexible framework for generating realistic population-scale single-cell RNA-seq data
Ni Zhao, Johns Hopkins University
Thursday Jul 17, 2025 14:17 - 14:44
Identifying unmeasured heterogeneity in microbiome data via quantile thresholding (QuanT)
Ariel Kamdoum, University of Calgary
Thursday Jul 17, 2025 16:11 - 16:37
Quantile-Gated Variational Autoencoder: Applications to High-Dimensional Genomic Data of Small Sample Sizes
