Sökning: onr:"swepub:oai:DiVA.org:oru-63645" >
MPEA--metabolite pa...
MPEA--metabolite pathway enrichment analysis
-
- Kankainen, Matti (författare)
- VTT Technical Research Centre of Finland, Espoo, Finland
-
- Gopalacharyulu, Peddinti (författare)
- VTT Technical Research Centre of Finland, Espoo, Finland
-
- Holm, Liisa (författare)
- Institute of Biotechnology, Department of Biological Sciences, University of Helsinki, Helsinki, Finland
-
visa fler...
-
- Oresic, Matej, 1967- (författare)
- Örebro universitet,Institutionen för medicinska vetenskaper,VTT Technical Research Centre of Finland, Espoo, Finland
-
visa färre...
-
(creator_code:org_t)
- 2011-05-05
- 2011
- Engelska.
-
Ingår i: Bioinformatics. - : Oxford University Press (OUP). - 1367-4803 .- 1367-4811. ; 27:13, s. 1878-1879
- Relaterad länk:
-
https://academic.oup...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- UNLABELLED: We present metabolite pathway enrichment analysis (MPEA) for the visualization and biological interpretation of metabolite data at the system level. Our tool follows the concept of gene set enrichment analysis (GSEA) and tests whether metabolites involved in some predefined pathway occur towards the top (or bottom) of a ranked query compound list. In particular, MPEA is designed to handle many-to-many relationships that may occur between the query compounds and metabolite annotations. For a demonstration, we analysed metabolite profiles of 14 twin pairs with differing body weights. MPEA found significant pathways from data that had no significant individual query compounds, its results were congruent with those discovered from transcriptomics data and it detected more pathways than the competing metabolic pathway method did.AVAILABILITY: The web server and source code of MPEA are available at http://ekhidna.biocenter.helsinki.fi/poxo/mpea/.
Ämnesord
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas