|
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 2023 Biomedical Engineering E4480 section 001 Statistical machine learning for genomic Statistical ML for genomi | |
| 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 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 |
Home About This Directory Online Bulletins ColumbiaWeb SSOL | |