Aug 03, 2020  
2018-2019 Augusta University Catalog 
    
2018-2019 Augusta University Catalog [ARCHIVED CATALOG]

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.

Credit Hours: 3
Lecture Hours: 3

Grade Mode: Normal, Audit
Prerequisites: STAT8640 and STAT9170
Repeat Status: No
College Restrictions: The Graduate School Level Restrictions: Graduate Semester
Schedule Type: Lecture


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