BIOE 505

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Credit: 4 hours.

Presents mathematical and statistical models together with their accompanying computational techniques that are central to many aspects of systems biology and bioengineering research. Topics include: theory of supervised and unsupervised learning; linear models; dimension reduction; Monte Carlo computation; analysis of gene expression data and genome sequence data; modeling of gene transcription network signaling pathways. Prerequisite: STAT 400.

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