Fall 2023 Computer Science E4762 section 001

Machine Learning for Functional Genomics

ML for Functional Genomic

Call Number 11239
Day & Time
MW 4:10pm-5:25pm
451 Computer Science Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor David A Knowles
Method of Instruction In-Person
Course 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. 

Web Site Vergil
Department Computer Science
Enrollment 90 students (100 max) as of 9:07PM Monday, July 15, 2024
Subject Computer Science
Number E4762
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Barnard College, Business, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Journalism
Section key 20233COMS4762W001