메뉴 건너뛰기




Volumn 86, Issue 10, 2014, Pages 4767-4774

In silico prediction and automatic LC-MSn annotation of green tea metabolites in urine

Author keywords

[No Author keywords available]

Indexed keywords

BIOMOLECULES; BODY FLUIDS; DIGITAL LIBRARIES; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; VIRTUAL REALITY;

EID: 84901267802     PISSN: 00032700     EISSN: 15206882     Source Type: Journal    
DOI: 10.1021/ac403875b     Document Type: Article
Times cited : (38)

References (47)
  • 23
    • 84901282929 scopus 로고    scopus 로고
    • Institute for Systems Biology. Seattle, WA.
    • Institute for Systems Biology. Seattle, WA ReAdW, 2009.
    • (2009) ReAdW


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.