Methods for Disease Analysis Using Multiomic Data
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.