Network-constrained forest for regularized classification of omics data.

Andel, Michael; Kléma, Jirí; Krejcík, Zdenek

Andel, Michael; Kléma, Jirí; Krejcík, Zdenek.

Afiliação

Andel M; Department of Computer Science, Czech Technical University, Technická 2, Prague, Czech Republic. Electronic address: andelmi2@fel.cvut.cz.
Kléma J; Department of Computer Science, Czech Technical University, Technická 2, Prague, Czech Republic. Electronic address: klema@fel.cvut.cz.
Krejcík Z; Department of Molecular Genetics, Institute of Hematology and Blood Transfusion, U Nemocnice 1, Prague, Czech Republic. Electronic address: zdenek.krejcik@uhkt.cz.

Methods ; 83: 88-97, 2015 Jul 15.

Article em En | MEDLINE | ID: mdl-25872185

Assuntos

Biologia Computacional/métodos; MicroRNAs/genética; RNA Mensageiro/genética; Inteligência Artificial; Redes Reguladoras de Genes; Humanos

Palavras-chave

Domain knowledge; Machine learning; Omics data; Random forest; Regularization; microRNA

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: RNA Mensageiro / Biologia Computacional / MicroRNAs Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google