Biomedical Informatics
Undergraduate and Graduate Lecture
MW 2:40-3:55PM
Methods in translational bioinformatics (i.e. biomedical data sciences) for graduate students as well as juniors and seniors. Students study the statistical and computational algorithms to evaluate large biomedical data, with a special focus on the integration of molecular and clinical data for the advancement of medicine. Methods may include including sequence analysis, supervised and unsupervised machine learning, graph theoretic models and network analysis, information theory, deep neural networks, density estimation, and others. Students will study how to practically apply these methods to biomedical domains in non-human and human genetics, pharmacology, and public health.
Link to Vergil
Note: only courses offered during the two previous semesters have active Vergil links.
