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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Fall 2022 Computer Science E4762 section 001
Machine Learning for Functional Genomics
ML for Functional Genomic

Call Number 11026
Day & Time
Location
MW 4:10pm-5:25pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor David A Knowles
Type LECTURE
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 0 students (100 max) as of 8:03AM Saturday, June 25, 2022
Subject Computer Science
Number E4762
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20223COMS4762W001

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SIS update 06/25/22 08:03    web update 06/25/22 17:34