ECOMS4762-001: Machine Learning for Functional Genomics for Fall 2022

Days and Time

Mondays and Wednesdays 4:10 PM-5:25 PM

Location

451 CSB

Allowed For:

  • Undergraduate
  • Masters
  • Professional
  • PhD

Prerequisites:

None

Notes:

None

Instructor:

Knowles, David

Description

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.