Graduate Studies


MOL 536 Statistical Methods for Genomic Data **


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An introduction to modern statistical methods for genomic data.  Topics include analysis methods for gene expression arrays, characterizing large-scale patterns of variation in genomic data, inferring regulatory networks, population genetic modeling of SNP data, and integrating multiple types of genomic data.  Methods recently introduced in the literature will be studied with the goal of formulating the unifying statistical principles of high-dimensional biological data analysis.

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