Trend analysis of time-series data: A novel method for untargeted metabolite discovery

Analytica Chimica Acta

Volumn 663, Issue 1, 2010, Pages 98-104

  Peters, Sonja ^a,b   Janssen, Hans Gerd ^a,b   Vivó Truyols, Gabriel ^b  

^a UNILEVER RESEARCH VLAARDINGEN   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Autocorrelation; Biomarker discovery; Gut fermentation; Metabolic profiling; Polyphenols; Trend analysis

Indexed keywords

ANALYTICAL TOOL; BIO-MARKER DISCOVERY; DATA SETS; MANUAL EXAMINATION; METABOLIC PROFILING; METABOLOMICS DATA; NEW STRATEGY; NOVEL METHODS; POLYPHENOLS; RANDOM VARIATION; SAMPLE SETS; STAND -ALONE; TARGET-COMPOUND ANALYSIS; TIME POINTS; TIME-SERIES DATA; TREND ANALYSIS; UNIVARIATE METHOD;

BIOMOLECULES; CORRELATION DETECTORS; CURVE FITTING; DATA STRUCTURES; FERMENTATION; METABOLISM; METABOLITES; PHENOLS;

TIME SERIES ANALYSIS;

POLYPHENOL;

ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; DIET; FERMENTATION; HUMAN; METABOLITE; METABOLOMICS; PRIORITY JOURNAL; TIME SERIES ANALYSIS; TREND STUDY;

BIOLOGICAL MARKERS; DATABASES, FACTUAL; FLAVONOIDS; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; HUMANS; KINETICS; MODELS, BIOLOGICAL; PHENOLS; TIME FACTORS;

EID: 77951622627     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2010.01.038     Document Type: Article

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