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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.


Spring 2021 Computer Science E4762 section V01
Machine Learning for Functional Genomics
ML for Functional Genomic

Call Number 17896
Points 3
Grading Mode Standard
Approvals Required None
Instructor David A Knowles
Type LECTURE
Method of Instruction On-Line Only
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 Video Network
Enrollment 4 students (99 max) as of 8:04PM Friday, April 9, 2021
Subject Computer Science
Number E4762
Section V01
Division School of Engineering and Applied Science: Graduate
Open To Columbia Video Network
Campus Video Network
Fee $395 CVN Course Fee
Note VIDEO NETWORK STUDENTS ONLY
Section key 20211COMS4762WV01

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SIS update 04/09/21 20:04    web update 04/09/21 21:23