GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data.

Rue-Albrecht, Kévin; McGettigan, Paul A; Hernández, Belinda; Nalpas, Nicolas C; Magee, David A; Parnell, Andrew C; Gordon, Stephen V; MacHugh, David E

Rue-Albrecht, Kévin; McGettigan, Paul A; Hernández, Belinda; Nalpas, Nicolas C; Magee, David A; Parnell, Andrew C; Gordon, Stephen V; MacHugh, David E.

Afiliação

Rue-Albrecht K; Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland.
McGettigan PA; Centre for Pharmacology and Therapeutics, Division of Experimental Medicine, Imperial College London, Hammersmith Hospital, London, W12 0NN, UK.
Hernández B; Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland.
Nalpas NC; Novartis Pharmaceuticals, Elm Park Business Campus, Merrion Road, Dublin 4, Ireland.
Magee DA; UCD School of Mathematics and Statistics, Insight Centre for Data Analytics, University College Dublin, Dublin 4, Ireland.
Parnell AC; UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland.
Gordon SV; Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland.
MacHugh DE; Proteome Center Tübingen, Interfaculty Institute for Cell Biology, University of Tübingen, Auf der Morgenstelle 15, 72076, Tübingen, Germany.

BMC Bioinformatics ; 17: 126, 2016 Mar 11.

Article em En | MEDLINE | ID: mdl-26968614

Assuntos

Biologia Computacional/métodos; Ontologia Genética; Software; Aprendizado de Máquina Supervisionado; Transcriptoma; RNA Mensageiro

Palavras-chave

Classification; Functional genomics; Gene expression; Gene ontology; Microarray; RNA-sequencing; Supervised learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Transcriptoma / Ontologia Genética / Aprendizado de Máquina Supervisionado Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Irlanda País de publicação: Reino Unido

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