Machine learning in bioinformatics Export

@article{citeulike:692144, abstract = {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. 10.1093/bib/bbk007}, address = {Intelligent Systems Group, Department of Computer Science and Artificial Intelligence, University of the Basque Country, Paseo Manuel de Lardizabal, 1, 20018 San Sebastian, Spain. pedro.larranaga@ehu.es}, author = {Larranaga, Pedro and Calvo, Borja and Santana, Roberto and Bielza, Concha and Galdiano, Josu and Inza, Inaki and Lozano, Jose A. and Armananzas, Ruben and Santafe, Guzman and Perez, Aritz and Robles, Victor}, citeulike-article-id = {692144}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bib/bbk007}, citeulike-linkout-1 = {http://bib.oxfordjournals.org/content/bbk007v1/.abstract}, citeulike-linkout-2 = {http://bib.oxfordjournals.org/content/bbk007v1/.full.pdf}, citeulike-linkout-3 = {http://bib.oxfordjournals.org/cgi/content/abstract/7/1/86}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/16761367}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=16761367}, day = {1}, doi = {10.1093/bib/bbk007}, issn = {1467-5463}, journal = {Brief Bioinform}, keywords = {machine-learning, review}, month = {March}, number = {1}, pages = {86--112}, posted-at = {2006-06-11 07:18:31}, priority = {2}, title = {Machine learning in bioinformatics}, url = {http://dx.doi.org/10.1093/bib/bbk007}, volume = {7}, year = {2006} }

TY - JOUR ID - citeulike:692144 L3 - citeulike-article-id:692144 N2 - 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. 10.1093/bib/bbk007 IS - 1 JF - Brief Bioinform SN - 1467-5463 AD - Intelligent Systems Group, Department of Computer Science and Artificial Intelligence, University of the Basque Country, Paseo Manuel de Lardizabal, 1, 20018 San Sebastian, Spain. pedro.larranaga@ehu.es EP - 112 TI - Machine learning in bioinformatics VL - 7 SP - 86 KW - machine-learning KW - review AU - Larranaga, Pedro AU - Calvo, Borja AU - Santana, Roberto AU - Bielza, Concha AU - Galdiano, Josu AU - Inza, Inaki AU - Lozano, Jose AU - Armananzas, Ruben AU - Santafe, Guzman AU - Perez, Aritz AU - Robles, Victor PY - 2006/03/01/ UR - http://dx.doi.org/10.1093/bib/bbk007 ER -