Predicting Network Activity from High Throughput Metabolomics

PLoS Computational Biology

Volumn 9, Issue 7, 2013, Pages

  Li, Shuzhao ^a   Park, Youngja ^b,c   Duraisingham, Sai ^a   Strobel, Frederick H ^a   Khan, Nooruddin ^a   Soltow, Quinlyn A ^b   Jones, Dean P ^b   Pulendran, Bali ^a  

^a EMORY UNIVERSITY   (United States)

^b EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

MASS SPECTROMETRY; THROUGHPUT;

COMPUTATIONAL ALGORITHM; FUNCTIONAL ACTIVITIES; FUNCTIONAL INTERPRETATIONS; HIGH-THROUGHPUT; METABOLIC NETWORK; METABOLIC PATHWAYS; METABOLOMICS; NETWORK ACTIVITIES; POWER; SPECTRAL FEATURE;

METABOLITES;

ALGORITHM; ARTICLE; CELL ACTIVATION; HUMAN; IMMUNOCOMPETENT CELL; MASS SPECTROMETRY; METABOLITE; METABOLOMICS; NONHUMAN; PREDICTION;

EID: 84880851838     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003123     Document Type: Article

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