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Sep 14, 2024
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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.
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