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 3:06PM Thursday, July 25, 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