Machine learning in bioinformatics

Machine learning in bioinformatics” by P. Larrañaga, B. Calvo, R. Santana, C. Bielza, J. Galdiano, I. Inza, J. A. Lozano, R. Armañanzas, G. Santafé, A. Pérez, and V. Robles. Briefings in Bioinformatics, vol. 7, 2006, pp. 86-112.

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.

BibTeX entry:

@article{Larranhaga_et_al:2005,
   author = {P. Larra{\~n}aga and B. Calvo and R. Santana and C. Bielza
	and J. Galdiano and I. Inza and J. A. Lozano and R. Arma{\~n}anzas
	and G. Santaf{\'e} and A. P{\'e}rez and V. Robles},
   title = {Machine learning in bioinformatics},
   journal = {Briefings in Bioinformatics},
   volume = {7},
   pages = {86--112},
   year = {2006},
   url = {http://dx.doi.org/10.1093/bib/bbk007}
}

(This webpage was created with bibtex2web.)

Back to Roberto Santana publications.