Integrated Analysis of Cancer Data: Multi-omic Clustering and Personalized Ranking of Driver Genes

Seminar: Statistics and Genomics Seminar | February 14 | 4-5 p.m. | 125 Li Ka Shing Center

 Professor Ron Shamir, The Blavatnik School of Computer Science, Tel Aviv University

 Department of Statistics

Large biological datasets are currently available, and their analysis has applications to basic science and medicine. While inquiry of each dataset separately often provides insights, integrative analysis may reveal more holistic, systems-level findings. We demonstrate the power of integrated analysis in cancer on two levels: (1) in analysis of one omic in many cancer types together, and (2) in analysis of multiple omics for the same cancer. In both levels we develop novel methods and observe a clear advantage to integration. We also describe a novel method for identifying and ranking driver genes in an individual's tumor and demonstrate its advantage over prior art.

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