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Spring 2023 Biomedical Engineering E4480 section 001
Statistical machine learning for genomic
Statistical ML for genomi

Call Number 12080
Day & Time
T 4:10pm-6:40pm
326 Uris Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Elham Azizi
Method of Instruction In-Person
Course Description Introduction to statistical machine learning methods using applications in genomic data and in particular high-dimensional single-cell data. Concepts of molecular biology relevant to genomic technologies, challenges of highdimensional genomic data analysis, bioinformatics preprocessing pipelines, dimensionality reduction, unsupervised learning, clustering, probabilistic modeling, hidden Markov models, Gibbs sampling, deep neural networks, gene regulation. Programming assignments and final project will be required.
Web Site Vergil
Department Biomedical Engineering
Enrollment 31 students (60 max) as of 10:07AM Thursday, March 30, 2023
Subject Biomedical Engineering
Number E4480
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Undergraduate, Engineering:Graduate, GSAS
Campus Morningside
Section key 20231BMEN4480E001

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SIS update 03/30/23 10:07    web update 03/30/23 10:21