Call Number | 12080 |
---|---|
Day & Time Location |
T 4:10pm-6:40pm 326 Uris Hall |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Elham Azizi |
Type | LECTURE |
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 5:08PM Saturday, September 7, 2024 |
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 |