A clustering-based preprocessing method for the elimination of unwanted residuals in metabolomic data

详细信息    查看全文

• 作者：Wanlan Wang ; Kian-Kai Cheng ; Lingli Deng ; Jingjing Xu ; Guiping Shen…
• 关键词：Unwanted Variations Elimination (UVE) ; Clustering ; based Unwanted Residuals Elimination (CURE) ; Metabolomics ; Data Analysis
• 刊名：Metabolomics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：13
• 期：1
• 全文大小：
• 刊物主题：Biochemistry, general; Molecular Medicine; Cell Biology; Developmental Biology; Biomedicine, general;
• 出版者：Springer US
• ISSN：1573-3890
• 卷排序：13

文摘

IntroductionThe metabolome of a biological system is affected by multiple factors including factor of interest (e.g. metabolic perturbation due to disease) and unwanted factors or factors which are not primarily the focus of the study (e.g. batch effect, gender, and level of physical activity). Removal of these unwanted data variations is advantageous, as the unwanted variations may complicate biological interpretation of the data.