Revealing disease-associated pathways by network integration of untargeted metabolomics

Nature Methods

Volumn 13, Issue 9, 2016, Pages 770-776

  Pirhaji, Leila ^a   Milani, Pamela ^a   Leidl, Mathias ^b   Curran, Timothy ^a,c   Avila Pacheco, Julian ^d   Clish, Clary B ^d   White, Forest M ^a,c   Saghatelian, Alan ^b,e   Fraenkel, Ernest ^a,d  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b HARVARD UNIVERSITY   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^e SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FATTY ACID; SPHINGOLIPID; STEROID;

ARTICLE; CAG REPEAT; DISEASE ASSOCIATION; FATTY ACID METABOLISM; HUMAN; HUNTINGTON CHOREA; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; METABOLOMICS; MOLECULAR INTERACTION; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; PROTEOMICS; RETENTION TIME; SIGNAL TRANSDUCTION; UNTARGETED METABOLOMICS; WESTERN BLOTTING; ALGORITHM; ARTIFICIAL NEURAL NETWORK; DEVICES; MACHINE LEARNING; METABOLISM; PROCEDURES; PROTEIN DATABASE;

ALGORITHMS; DATABASES, PROTEIN; FATTY ACIDS; HUMANS; HUNTINGTON DISEASE; MACHINE LEARNING; METABOLIC NETWORKS AND PATHWAYS; METABOLOMICS; NEURAL NETWORKS (COMPUTER); SPHINGOLIPIDS; STEROIDS;

EID: 84980384640     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.3940     Document Type: Article

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