Evaluation Methods for Discrimination of Metabonomic Data
Zhu Hang1; Lan Wen-xian2; Liu Mai-Li1
刊名CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
2013-07-01
卷号41期号:7页码:1000-1005
关键词Metabonomics Pattern recognition Multivariate statistical analysis Significance test Distance between classes Sum of squares of deviations Nuclear magnetic resonance
英文摘要Metabonomics, which utilizes spectroscopic approaches to obtain the data and statistic approaches to analyze the data, has been widely used to study metabolic response of living system to internal and external stimuli. In this study, multivariate t test, interclass-distance and sum of squares of deviations were introduced for better evaluating the metabonomic data, aiming to answer the questions such as "Is there significant difference between classes., "How big is the difference" and "How large is the data disparity" in a quantitative or semi. quantitative manner. The results demonstrated that the introduced statistic approaches could provide more information for the data and might be useful in designing experiment for metabolic studies.
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Chemistry, Analytical
研究领域[WOS]Chemistry
关键词[WOS]MAGNETIC-RESONANCE-SPECTROSCOPY ; PATTERN-RECOGNITION ; NMR-SPECTRA ; METABOLOMICS ; SPECTROMETRY ; TOXICITY
收录类别SCI
语种英语
WOS记录号WOS:000329454100002
公开日期2015-07-14
内容类型期刊论文
源URL[http://ir.wipm.ac.cn/handle/112942/920]  
专题武汉物理与数学研究所_磁共振基础研究部
作者单位1.Wuhan Inst Phys & Math, Wuhan Ctr Magnet Resonance, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan 430071, Peoples R China
2.Shanghai Inst Organ Chem, Shanghai 200032, Peoples R China
推荐引用方式
GB/T 7714
Zhu Hang,Lan Wen-xian,Liu Mai-Li. Evaluation Methods for Discrimination of Metabonomic Data[J]. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY,2013,41(7):1000-1005.
APA Zhu Hang,Lan Wen-xian,&Liu Mai-Li.(2013).Evaluation Methods for Discrimination of Metabonomic Data.CHINESE JOURNAL OF ANALYTICAL CHEMISTRY,41(7),1000-1005.
MLA Zhu Hang,et al."Evaluation Methods for Discrimination of Metabonomic Data".CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 41.7(2013):1000-1005.
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