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May 04, 2024
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2016-2017 Augusta University Graduate and Professional Catalog [ARCHIVED CATALOG]
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STAT 9270 - Computational Genomics and Proteomics
Computational inference and visualization approaches for high-thoughput data from genomics and proteomics. Topics include an introduction to high-thoughput experimental data, experiment planning, data normalization, data representation, clustering, classification, approaches for detecting differential expression, hierarchical Bayesian models, Gayesian variable selection, other computational approaches to variable selection, statistical network models, and statistical metrics for model validation.
Grade Mode: Normal, Audit
Prerequisites: STAT8640 and STAT9170
Credit Hours: 3
Lecture Hours: 3
College Restrictions: The Graduate School Level Restrictions: Graduate Semester
Click here for the Schedule of Classes.
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