Statistics 6031: Introduction to Statistics for Bioinformatics
| 6031 |
Introduction
to Statistics for Bioinformatics (4)
Statistical methods for Bioinformatics. Topics chosen from: applying
statistical techniques to explore large data sets, Bayesian statistics,
stochastic processes, applied probability models, spatial segregation and
clustering techniques, differential equations, discriminant analysis for
understanding and manipulation of Genome. Not for graduate credit in
Statistics M.S. degree. Prerequisites: MATH 1305 and STAT 3031. (W)
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