Quantitative Methods in Bioinformatics.

Catalog description

Semester course; 3 lecture hours. 3 credits. Enrollment is restricted to students with graduate status or permission of instructor. Students will be introduced to quantitative methods including probability and statistical theory in order to recognize and interpret the underlying mathematics behind common bioinformatic analyses. Students will learn to apply these bioinformatic data analysis principles using packages and tools in the R software environment. Topics covered include regression, differential expression, t-SNE and principal component analyses.