Application based course in nonparametric statistics. Modern toolbox of visualization and statistical methods for the analysis of data, examples drawn from immunology, microbiology, cancer research and ecology. Methods covered include multivariate methods (PCA and extensions), sparse representations (trees, networks, contingency tables) as well as nonparametric testing (Bootstrap, permutation and Monte Carlo methods). Hands on, use R and cover many Bioconductor packages.
- Grading Basis: Letter Grade or Credit/No Credit
- Cross-Listings: BIOS 221, STATS 366
- Limited Enrollment Details: Consent of instructor
Minimal familiarity with computers; consent of instructor