Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery.

Crabtree, Nathaniel M; Moore, Jason H; Bowyer, John F; George, Nysia I

Crabtree, Nathaniel M; Moore, Jason H; Bowyer, John F; George, Nysia I.

Afiliação

Crabtree NM; Bioinformatics, Department of Information Science, University of Arkansas at Little Rock and University of Arkansas for Medical Sciences Joint Bioinformatics Graduate Program, Little Rock, AR USA.
Moore JH; Division of Informatics, Department of Biostatistics and Epidemiology, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6021 USA.
Bowyer JF; Division of Neurotoxicology, National Center for Toxicological Research, FDA, Jefferson, AR USA.
George NI; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, FDA, Jefferson, AR USA.

BioData Min ; 10: 13, 2017.

Article em En | MEDLINE | ID: mdl-28450890

Palavras-chave

Artificial intelligence; Biomarker discovery; Classification; Data mining; Evolutionary algorithm; Feature selection; Genetic programming; Machine learning; Multi-class

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article