A genetic approach for building different alphabets for peptide and protein classification

BACKGROUND: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task is performed by a multi-classifier system where each classifier (Linear or Radial Basis function Support Vector Machines)...

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Detalles Bibliográficos
Autores principales: Nanni, Loris, Lumini, Alessandra
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246158/
https://www.ncbi.nlm.nih.gov/pubmed/18218100
http://dx.doi.org/10.1186/1471-2105-9-45

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246158/
https://www.ncbi.nlm.nih.gov/pubmed/18218100
http://dx.doi.org/10.1186/1471-2105-9-45

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