Predicting network activity from high throughput metabolomics.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 23861661.
- Also identified by DOI 10.1371/journal.pcbi.1003123 and PMC identifier 3701697.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
The functional interpretation of high throughput metabolomics by mass spectrometry is hindered by the identification of metabolites, a tedious and challenging task. We present a set of computational algorithms which, by leveraging the collective power of metabolic pathways and networks, predict functional activity directly from spectral feature tables without a priori identification of metabolites. The algorithms were experimentally validated on the activation of innate immune cells.
Medical subject headings
- Metabolomics