|Day & Time
451 Computer Science Building
|Instructor||David A Knowles|
|Method of Instruction||In-Person|
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.
|Enrollment||90 students (100 max) as of 9:06PM Wednesday, November 29, 2023|
|Division||School of Engineering and Applied Science: Graduate|