Null diffusion-based enrichment for metabolomics data.

ABSTRACT: Metabolomics experiments identify metabolites whose abundance varies as the conditions under study change. Pathway enrichment tools help in the identification of key metabolic processes and in building a plausible biological explanation for these variations. Although several methods are available for pathway enrichment using experimental evidence, metabolomics does not yet have a comprehensive overview in a network layout at multiple molecular levels. We propose a novel pathway enrichment procedure for analysing summary metabolomics data based on sub-network analysis in a graph representation of a reference database. Relevant entries are extracted from the database according to statistical measures over a null diffusive process that accounts for network topology and pathway crosstalk. Entr

SUBMITTER: Picart-Armada S 

PROVIDER: S-EPMC5718512 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature