penalizedSVM: a R-package for feature selection SVM classification.

Becker, Natalia; Werft, Wiebke; Toedt, Grischa; Lichter, Peter; Benner, Axel

Becker, Natalia; Werft, Wiebke; Toedt, Grischa; Lichter, Peter; Benner, Axel.

Afiliación

Becker N; Division Molecular Genetics and Division Biostatistics, Heidelberg, Germany. natalia.becker@dkfz.de

Bioinformatics ; 25(13): 1711-2, 2009 Jul 01.

Article en En | MEDLINE | ID: mdl-19398451

RESUMEN

SUMMARY: Support vector machine (SVMs) classification is a widely used and one of the most powerful classification techniques. However, a major limitation is that SVM cannot perform automatic gene selection. To overcome this restriction, a number of penalized feature selection methods have been proposed. In the R package 'penalizedSVM' implemented penalization functions L(1) norm and Smoothly Clipped Absolute Deviation (SCAD) provide automatic feature selection for SVM classification tasks. AVAILABILITY: The R package 'penalizedSVM' is available from the Comprehensive R Archive Network (http://cran.r-project.org/) under GPL-2 or later.

Asunto(s)

Algoritmos; Inteligencia Artificial; Biología Computacional/métodos; Clasificación/métodos; Bases de Datos Genéticas; Perfilación de la Expresión Génica/métodos; Redes Reguladoras de Genes; Programas Informáticos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Inteligencia Artificial / Biología Computacional Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2009 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido

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