Biostatistics 277 -- Computational Biology
Course Description: Introduction to statistical methods for biological problems including microarray analysis, motif finding, CHIP-chip data, and gene regulatory network. Topics include multiple hypothesis testing, clustering and classification, variable selection, hidden Markov model, and Bayesian network.

This class is at the Graduate level
Instructor: Guocheng Yuan (Public Health)
Prerequisites: BIO 230 and BIO 231, or permission of instructor required.

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