GC/MS based metabolomics: Development of a data mining system for metabolite identification by using soft independent modeling of class analogy (SIMCA)

BMC Bioinformatics

Volumn 12, Issue , 2011, Pages

  Tsugawa, Hiroshi ^a   Tsujimoto, Yuki ^a   Arita, Masanori ^b   Bamba, Takeshi ^a   Fukusaki, Eiichiro ^a  

^a OSAKA UNIVERSITY   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL METHOD; BIOLOGICAL SAMPLES; DATA MINING SYSTEM; FOOD QUALITY; METABOLITE IDENTIFICATION; METABOLOMICS; PEARSON'S PRODUCT-MOMENT CORRELATION COEFFICIENT; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES;

CHEMICAL ANALYSIS; DATA MINING; GAS CHROMATOGRAPHY; MASS SPECTROMETRY; METABOLITES;

BIOMOLECULES;

ARTICLE; BIOLOGICAL MODEL; CHEMISTRY; DATA MINING; FOOD HANDLING; GENETIC DATABASE; INFORMATION SYSTEM; MASS FRAGMENTOGRAPHY; METABOLOMICS; METHODOLOGY; TEA;

DATA MINING; DATABASES, GENETIC; FOOD TECHNOLOGY; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; INFORMATION SYSTEMS; METABOLOMICS; MODELS, BIOLOGICAL; TEA;

EID: 79955501451     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-131     Document Type: Article

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