BIOMEDIN217
Translational Bioinformatics
Biomedical Informatics
MED - School of Medicine
Course Description
Computational methods for the translation of biomedical data into diagnostic, prognostic, and therapeutic applications in medicine. Topics: multi-scale omics data generation and analysis, utility and limitations of public biomedical resources, machine learning and data mining, issues and opportunities in drug discovery, and mobile/digital health solutions. Case studies and course project. Prerequisites: programming ability at the level of CS 106A and familiarity with biology and statistics.
Cross Listed Courses
Grading Basis
MOP - Medical Option (Med-Ltr-CR/NC)
Min
3
Max
4
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Programs
BIOMEDIN217
is a
completion requirement
for: