INFO-B 529 Machine Learning for Bioinformatics
3 credits
- Prerequisite(s): B519
- Delivery: On-Campus
Description
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 comparison, gene finding, RNA secondary structure prediction, protein structure prediction, gene expression analysis, proteomics, and integrative functional genomics.
Policies and Procedures
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