ECOMS4762-1: Machine Learning for Functional Genomics for Spring 2021
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Days and Time
Mondays and Wednesdays 4:10 PM-5:25 PM
This course will introduce modern probabilistic machine learning methods using applications in data analysis tasks from functional genomics, where massively-parallel sequencing is used to measure the state of cells: e.g. what genes are being expressed, what regions of DNA (“chromatin”) are active (“open”) or bound by specific proteins.