INFO-B 529 Machine Learning for Bioinformatics
The course covers advanced topics in bioinformatics with a focus on machine learning. This course reviews existing techniques such as hidden Markov models, artificial neural network, decision trees, stochastic grammars, and kernel methods. It also examines the application of these techniques to current bioinformatics problems including genome annotation and comparision, gene finding, RNA secondary structure prediction, protein structure prediction, gene expression analysis, proteomics, and integrative functional genomics.
This course is not being offered this semester.