CIS 635 - Knowledge Discovery and Data Mining

A survey of computational methods for knowledge discovery in bioinformatics and medicine. Topics covered are dynamic programming (sequence alignment, BLAST search engine), Hidden Markov Models (phylogenetic trees, structure prediction), clustering and discriminations models for microarray analysis (Gene Expression Data), selected data mining software, and working with biological databases. Offered winter semester. Prerequisite: CIS 500 or equivalent.

Credits: 3

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