Mar 29, 2024  
Graduate Catalog | 2021-2022 
    
Graduate Catalog | 2021-2022 Previous Edition

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BINF 8210 - Machine Learning for Bioinformatics


Introduces commonly used machine learning methods in the field of bioinformatics. Topics include: dimension reduction using principal component analysis, singular value decomposition, and linear discriminant analysis, clustering using k-means, hierarchical, expectation maximization approaches, classification using k-nearest neighbor and support vector machines. To help understand these methods, basic concepts from linear algebra, optimization, and information theory are explained. Application of these machine learning methods to solving bioinformatics problems are illustrated using examples from the literature.

Credit Hours: (3)
Prerequisite(s): BINF 8200  and Calculus.
Most Recently Offered (Day): Fall 2019, Fall 2020, Fall 2021
Most Recently Offered (Evening): Course has not been offered at this time in the past 3 years


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