Practical application of methods covered in DATA 521 and DATA 522. Students will use large, real-life high-throughput and high-dimensional genomic or proteomic data sets to perform all stages of data evaluation, preparation and analysis leading to the identification of parsimonious multivariate biomarkers and to building and validation of efficient predictive models that are robust and have a plausible biomedical interpretation.

Prerequisites: DATA 522 or permission of department chair.

4 Credits

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