Spring 2016

Genomics Whiteboard Seminar Series

Tuesday, January 26th, 2016, 2:30 pm3:30 pm

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Fabio Vandin (University of Southern Denmark)


Calvin Lab Room 116

Algorithms for Survival Analysis of Mutations in Cancer

Deriving clinical utility from large genomic datasets requires the identification of statistically significant associations between genomic measurements and a clinical phenotype. An important instance of this problem is to identify genetic variants that distinguish patients with different survival time following diagnosis or treatment. I will present some of the algorithmic problems that arise in the identification of mutations associated with survival in cancer.