School of Informatics | Machine Learning in Bioinformatics
I529 | 15170 | Tang


3cr.
P: INFO I 519 or equivalent knowledge. The course covers advanced
topics in Bioinformatics with a focus on machine learning. The course
will review existing techniques such as hidden Markov models,
artificial neural networks, decision trees, stochastic grammars, and
kernel methods. Examine 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, proteonmics, and integrative
functional genomics.