Predicting network activity from high throughput metabolomics

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 func...

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Veröffentlicht in:	PLoS computational biology 2013-07, Vol.9 (7), p.e1003123-e1003123
Hauptverfasser:	Li, Shuzhao, Park, Youngja, Duraisingham, Sai, Strobel, Frederick H, Khan, Nooruddin, Soltow, Quinlyn A, Jones, Dean P, Pulendran, Bali
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biology Computational biology Experiments Gene expression Genomes Humans Immunity, Innate Mass Spectrometry Metabolites Metabolomics Physiological aspects
Online-Zugang:	Volltext
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