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FELLA: an R package to enrich metabolomics data

Author
Picart, S.; Fernandez-Albert, F.; Vinaixa, M.; Yanes, Ó.; Perera, A.
Type of activity
Journal article
Journal
BMC bioinformatics
Date of publication
2018-12-22
Volume
19
Number
1
First page
538 1
Last page
538 9
DOI
https://doi.org/10.1186/s12859-018-2487-5 Open in new window
Project funding
Altitude performance in elite athletes: genetic, metabolic and neurocardiovascular analysis in training and competition
Impacto del entrenamiento en deportistas de élite en la función cardíaca, regulación neural y regulación genética asociada
Repository
http://hdl.handle.net/2117/126809 Open in new window
URL
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2487-5 Open in new window
Abstract
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...
Citation
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.
Keywords
Data mining, Knowledge representation, Metabolomics, Network analysis, Pathways
Group of research
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Biomedical Engineering Research Centre

Participants

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