Carregant...
Carregant...

Vés al contingut (premeu Retorn)

FELLA: an R package to enrich metabolomics data

Autor
Picart, S.; Fernandez-Albert, F.; Vinaixa, M.; Yanes, Ó.; Perera, A.
Tipus d'activitat
Article en revista
Revista
BMC bioinformatics
Data de publicació
2018-12-22
Volum
19
Número
1
Pàgina inicial
538 1
Pàgina final
538 9
DOI
https://doi.org/10.1186/s12859-018-2487-5 Obrir en finestra nova
Projecte finançador
Impacto del entrenamiento en deportistas de élite en la función cardíaca, regulación neural y regulación genética asociada
Rendimiento en altura en atletas de élite: análisi de factores genéticos, metabólicos y neruocardiovasculares en entrenamiento
Repositori
http://hdl.handle.net/2117/126809 Obrir en finestra nova
URL
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2487-5 Obrir en finestra nova
Resum
Background: Pathway enrichment techniques are useful for understanding experimental metabolomics data. Their purpose is to give context to the affected metabolites in terms of the prior knowledge contained in metabolic pathways. However, the interpretation of a prioritized pathway list is still challenging, as pathways show overlap and cross talk effects. Results: We introduce FELLA, an R package to perform a network-based enrichment of a list of affected metabolites. FELLA builds a hierarchical...
Citació
Picart, S., Fernandez-Albert, F., Vinaixa, M., Yanes, Ó., Perera, A. FELLA: an R package to enrich metabolomics data. "BMC bioinformatics", 22 Desembre 2018, vol. 19, núm. 1, p. 538 1-538 9.
Paraules clau
Data mining, Knowledge representation, Metabolomics, Network analysis, Pathways
Grup de recerca
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Centre de Recerca en Enginyeria Biomedica

Participants

Arxius