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Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm.
Reis, Diogo R; Santos, Bruno C; Bleicher, Lucas; Zárate, Luis E; Nobre, Cristiane N.
  • Reis DR; Pontifical Catholic University of Minas Gerais - PUC Minas, 500 Dom José Gaspar Street, Building 20, Coração Eucarístico, Belo Horizonte, MG 30535-901, Brazil. Electronic address: diogorreiss@gmail.com.
  • Santos BC; Pontifical Catholic University of Minas Gerais - PUC Minas, 500 Dom José Gaspar Street, Building 20, Coração Eucarístico, Belo Horizonte, MG 30535-901, Brazil. Electronic address: brunocs90@gmail.com.
  • Bleicher L; Federal University of Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil. Electronic address: lbleicher@icb.ufmg.br.
  • Zárate LE; Pontifical Catholic University of Minas Gerais - PUC Minas, 500 Dom José Gaspar Street, Building 20, Coração Eucarístico, Belo Horizonte, MG 30535-901, Brazil. Electronic address: zarate@pucminas.br.
  • Nobre CN; Pontifical Catholic University of Minas Gerais - PUC Minas, 500 Dom José Gaspar Street, Building 20, Coração Eucarístico, Belo Horizonte, MG 30535-901, Brazil. Electronic address: nobre@pucminas.br.
Comput Biol Med ; 158: 106799, 2023 05.
Article en En | MEDLINE | ID: mdl-37028140
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article