Machine learning in bioinformatics

Brief Bioinform. 2006 Mar;7(1):86-112. doi: 10.1093/bib/bbk007.


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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Artificial Intelligence*
  • Computational Biology*
  • Genomics
  • Models, Theoretical*
  • Proteomics