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Metabolomic screening and star pattern recognition by urinary amino acid profile analysis from bladder cancer patients.

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dc.contributor.authorKim, JW-
dc.contributor.authorLee, G-
dc.contributor.authorMoon, SM-
dc.contributor.authorPark, MJ-
dc.contributor.authorHong, SK-
dc.contributor.authorAhn, YH-
dc.contributor.authorKim, KR-
dc.contributor.authorPaik, MJ-
dc.date.accessioned2011-05-31T06:00:17Z-
dc.date.available2011-05-31T06:00:17Z-
dc.date.issued2010-
dc.identifier.issn1573-3882-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/2766-
dc.description.abstractMetabolomic analysis of urinary amino acids (AAs) from patients with bladder cancer was performed by gas chromatography-mass spectrometry. The β-aminoisobutyric acid (P < 0.05) and pyroglutamic acid (P < 0.03) levels among 21 AAs had relatively low P-values in the cancer group. The distorted star pattern of the cancer group was different from the heneicosagonal shape of the control mean. The present metabolomic screening combined with star pattern recognition method as clinical monitoring tool might be useful for the visual discrimination of bladder cancer group from normal group.-
dc.language.isoen-
dc.titleMetabolomic screening and star pattern recognition by urinary amino acid profile analysis from bladder cancer patients.-
dc.typeArticle-
dc.identifier.urlhttp://www.springerlink.com/openurl.asp?genre=journal&issn=1573-3882-
dc.contributor.affiliatedAuthor이, 광-
dc.contributor.affiliatedAuthor안, 영환-
dc.contributor.affiliatedAuthor백, 만정-
dc.type.localJournal Papers-
dc.citation.titleMetabolomics-
dc.citation.volume6-
dc.citation.number2-
dc.citation.date2010-
dc.citation.startPage202-
dc.citation.endPage206-
dc.identifier.bibliographicCitationMetabolomics, 6(2). : 202-206, 2010-
dc.identifier.eissn1573-3890-
dc.relation.journalidJ015733882-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Physiology
Journal Papers > School of Medicine / Graduate School of Medicine > Neurosurgery
Journal Papers > Research Organization > Institute for Neuroregeneration & Stem Cell Research
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