title: Predicting gene function in Saccharomyces cerevisiae.
abstract: BACKGROUND
  S.cerevisiae is one of the most important model organisms, and has has been the focus of over a century of study. In spite of these efforts, 40% of its open reading frames (ORFs) remain classified as having unknown function (MIPS: Munich Information Center for Protein Sequences). We wished to make predictions for the function of these ORFs using data mining, as we have previously successfully done for the genomes of M.tuberculosis and E.coli. Applying this approach to the larger and eukaryotic S.cerevisiae genome involves modifying the machine learning and data mining algorithms, as this is a larger organism with more data available, and a more challenging functional classification.
  
  
  RESULTS
  Novel extensions to the machine learning and data mining algorithms have been devised in order to deal with the challenges. Accurate rules have been learned and predictions have been made for many of the ORFs whose function is currently unknown. The rules are informative, agree with known biology and allow for scientific discovery.
  
  
  BACKGROUND
  All predictions are freely available from http://www.genepredictions.org, all datasets used in this study are freely available from http://www.aber.ac.uk/compsci/Research/bio/dss/yeastdataand software for relational data mining is available from http://www.aber.ac.uk/compsci/Research/bio/dss/polyfarm.
authors.affiliation: Department of Computer Science, University of Wales, Aberystwyth, Penglais, Aberystwyth, Wales, UK. afc@aber.ac.uk
authors.forename: A
authors.initials: A
authors.lastname: Clare
authors.forename: R D
authors.initials: RD
authors.lastname: King
mesh_terms: D002874:Chromosome Mapping / Q000379:methods*; D003198:Computer Simulation; D003628:Database Management Systems; D030562:Databases, Protein; D020869:Gene Expression Profiling / Q000379:methods*; D016681:Genome, Fungal / Q000235:genetics; D016247:Information Storage and Retrieval / Q000379:methods*; D008954:Models, Biological; D016366:Open Reading Frames / Q000235:genetics*; D029701:Saccharomyces cerevisiae Proteins / Q000737:chemistry / Q000502:physiology*; D013329:Structure-Activity Relationship
chemical_list: D029701:Saccharomyces cerevisiae Proteins