Dr. Nilah Ioannidis, Departments of Biomedical Data Science and Genetics, Stanford University, Feb 13

Published: 12/02/2018
Dr. Nilah Ioannidis, Departments of Biomedical Data Science and Genetics, Stanford University, Feb 13
Source: EVENTS.BERKELEY.EDU

Abstract: Understanding the clinical significance of personal genome variation is a major challenge for personalized medicine, with large numbers of variants of unknown significance discovered in next-generation sequencing studies. I will first discuss two machine learning tools that we recently developed to predict the clinical significance of individual genetic variants. REVEL is a random forest

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