Chemometric approaches to improve PLSDA model outcome for predicting human non-alcoholic fatty liver disease using UPLC-MS as a metabolic profiling tool

Metabolomics

Volumn 8, Issue 1, 2012, Pages 86-98

  Quintás, Guillermo ^a   Portillo, Nuria ^b   García Cañaveras, Juan Carlos ^a,c   Castell, José Vicente ^a,c   Ferrer, Alberto ^b   Lahoz, Agustín ^a  

^a HOSPITAL UNIVERSITARIO LA FE   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^c UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Mass spectrometry; Metabolomics; PLSDA and steatosis

Indexed keywords

BILE ACID; BIOLOGICAL MARKER; GLUTATHIONE; LYSOPHOSPHOLIPID;

ACCURACY; ADULT; ARTICLE; CHEMOMETRIC ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; DISEASE MARKER; EXTERNAL VALIDITY; FEMALE; HUMAN; HUMAN TISSUE; MALE; METABOLITE; METABOLOMICS; NONALCOHOLIC FATTY LIVER; PARTIAL LEAST SQUARES DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SIGNAL NOISE RATIO; STANDARDIZATION; TIME OF FLIGHT MASS SPECTROMETRY; ULTRA PERFORMANCE LIQUID CHROMATOGRAPHY; VALIDATION PROCESS;

EID: 84855890664     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-011-0292-5     Document Type: Article

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