Methods for Disease Analysis Using Multiomic Data
Offered By: Computational Genomics Summer Institute CGSI via YouTube
Course Description
Overview
Explore advanced methods for disease analysis using multiomic data in this 38-minute conference talk by Ron Shamir at the Computational Genomics Summer Institute (CGSI) 2023. Delve into cutting-edge techniques for multi-omic and multi-view clustering, cancer subtyping through partial multi-omic data integration, personalized prioritization of driver genes, and the integration of gene expression and DNA methylation data across different experiments. Gain insights from related research papers, including works on NEMO (Cancer subtyping by integration of partial multi-omic data) and Prodigy (personalized prioritization of driver genes). Enhance your understanding of computational approaches in genomics and their applications in disease analysis and personalized medicine.
Syllabus
Ron Shamir | Methods for Disease Analysis Using Multiomic Data | CGSI 2023
Taught by
Computational Genomics Summer Institute CGSI
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