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Volumn 10, Issue 6, 2014, Pages 1074-1083

Investigating sources of variability in metabolomic data in the EPIC study: the Principal Component Partial R-square (PC-PR2) method

(16)  Fages, Anne a   Ferrari, Pietro b   Monni, Stefano c   Dossus, Laure d,e,f   Floegel, Anna g   Mode, Nicolle h   Johansson, Mattias b,i   Travis, Ruth C j   Bamia, Christina k   Sánchez Pérez, María José l,m   Chiodini, Paolo n   Boshuizen, Hendriek C o   Chadeau Hyam, Marc p   Riboli, Elio p   Jenab, Mazda b   Elena Herrmann, Bénédicte a  

d INSERM   (France)

Author keywords

Epidemiology; European prospective investigation on cancer and nutrition; Metabolomics; Nuclear magnetic resonance; Principal component analysis; Systematic variation

Indexed keywords

ADULT; ARTICLE; BILE DUCT CANCER; BILIARY TRACT CANCER; CASE CONTROL STUDY; COHORT ANALYSIS; FEMALE; HUMAN; LIVER CANCER; LIVER CELL CARCINOMA; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL ANALYSIS; METABOLOMICS; PRINCIPAL COMPONENT PARTIAL R SQUARE METHOD; PROSPECTIVE STUDY; PROTON NUCLEAR MAGNETIC RESONANCE;

EID: 84948760819     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-014-0647-9     Document Type: Article
Times cited : (40)

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