| Título: | Predictions of putative adhesin-like proteins from the human protozoan parasite Trypanosoma cruzi through genomic data mining and machine learning. IEEE/ACM Transactions on Computational Biology and Bioinform. 695. |
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| Autor: | Marcos, A.M., & Azuaje, F.J. |
| Año: | 2009 |
| Enlace: | http://www.posgrad.epm.br/microimuno/ProdTotalDetAtributos.asp?idprog=33009015003P3&idprod=79&anobase=2009 |
Abstract
This paper reports on the evaluation of different machine learning techniques for the automated classification of coding gene sequences obtained from several organisms in terms of their functional role as adhesins.
