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May 10, 2025
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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: Prerequisites: STAT8640, STAT9170
Hours: Credit Hrs. Low: 3Contact Hrs. Low: 3
Course Level: Graduate Semester
Equivalent Course: STAT8523
Graduate StudiesGraduate Semester
Click here for the Schedule of Classes.
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