Topic-Contributed Paper Session

Advanced Statistical and Machine Learning Methods for Multi-Omics Integration

Tue, Aug 4, 4:00 PM - 5:50 PM Room CC-252A Thomas M. Menino Convention & Exhibition Center

Annie LeeOrganizerBoyi HuChair

Section on Statistics in Genomics and Genetics co: Caucus for Women in Statistics and Data Scienceco: Korean International Statistical Society Applied

5 Presentations

DeepProg v2: Pan-Cancer Prognosis Prediction by Integrating Treatment, Genomics and Genetic Alterations

4:05 PM - 4:25 PM

Wanxing Zhang

Co-authors: Lana Garmire (The University of Alabama at Birmingham)

Multi-omics integration Survival prediction Deep learning Cancer prognosis

Fast Permutation Tests for Sparse CCA in High-Dimensional Multi-Omics and Multiple Pollutants

4:25 PM - 4:45 PM

Jenny Lee (Ewha Womans University)

Multi Omics High Dimensional Multiple Pollutants

Integrative machine learning for outcome-guided subtyping with longitudinal clinical trajectories and high-dimensional omics data

4:45 PM - 5:05 PM

Annie Lee (Columbia University Irving Medical Center)

Outcome-guided subtyping Longitudinal data integration High-dimensional omics

Multi-facet clustering and outcome-guided clustering in high-dimensional unsupervised learning

5:05 PM - 5:25 PM

George Tseng (University of Pittsburgh)

multi-facet clustering outcome-guided clustering multi-omics integration

Prediction of disease-free survival using cooperative learning on multi-omic data

5:25 PM - 5:45 PM

Georg Hahn (Brigham and Women's Hospital and Harvard Medical School)

prediction disease-free survival cooperative learning precision medicine