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Machine learning in bioinformatics
2006
Briefings in Bioinformatics
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This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochastic heuristics for optimization. Applications in genomics, proteomics, systems biology, evolution and text mining are also shown.
doi:10.1093/bib/bbk007
pmid:16761367
fatcat:4oss26occvhkjnetcr3sesnkcu