2008 Spring Term / Subjects ( ) / STA Classes ( ) / STA 270 STA 270 - STAT MTHDS/COMPUTATIONAL BIOLG Methods of statistical inference and stochastic modeling with application to functional genomics and computational molecular biology. Topics include: statistical theory underlying sequence analysis and database searching; Markov models; elements of Bayesian and likelihood inference; multivariate high-dimensional regression models, applied linear regress analysis; discrete data models; multivariate data decomposition methods (PCA, clustering, multi-dimensional scaling); software tools for statistical computing. Prerequisites: multivariate calculus, linear algebra and Statistics 213. Instructor: Mukherjee E/C Meeting Time (Location) Instructor 01 LEC 3/10 Tu Th 4:25 PM-5:40 PM (Old Chem 025) Crosslisted as: CBB 240 Schmidler,Scott C