STAT 526 Data Mining for Genomics and Proteomics

Topics include selection of data mining methods appropriate for the goals of a biomedical study (supervised versus unsupervised, univariate versus multivariate), analysis of gene expression microarray data, biomarker discovery, feature selection, building and validation of classification models for medical diagnosis, prognosis, drug discovery, random forests, and ensemble classifiers.

Credits

4

Prerequisite

STAT 521 or permission of the instructor.

General Education

Offered

  • Fall