Aug 16, 2022  
Catalog/Bulletin 2021-2022 
Catalog/Bulletin 2021-2022 [ARCHIVED CATALOG]


[3 Credits]
Statistical learning or machine learning methodology explores various ways of estimating functional dependencies between a response variable (e.g., a disease outcome) and a large set of explanatory variables (e.g., gene expression data). This course will provide an overview of supervised learning methods used in bioinformatics and high-dimensional data research. The topics include regularization in linear models, tree and related methods, support vector machines, and boosting. Practical uses of these algorithms will be illustrated in biological research.