CS 225 - Topics in Sequence-based Machine Learning for Bioinformatics

3 unit(s)
A study of recent advances in machine learning methods with applications to solving sequence analysis problems in molecular biology. The methods examined include word embeddings, vector space representations, language models, and deep learning architectures. A substantial course project is required.

Prerequisite(s): BIOL 123B and MATH 162 or CS 156 or CS 171, or instructor consent. Graduate standing. Allowed Declared Major: MS Computer Science, MS Bioinformatics, MS Data Science.
Grading: Letter Graded

Class Schedule | Syllabus Information | University Bookstore