A modified k-TSP algorithm and its application in LC-MS-based metabolomics study of hepatocellular carcinoma and chronic liver diseases

	A modified k-TSP algorithm and its application in LC-MS-based metabolomics study of hepatocellular carcinoma and chronic liver diseases
	Lin, Xiaohui 1; Gao, Jiuchong 1; Zhou, Lina 2; Yin, Peiyuan 2; Xu, Guowang 2
刊名	journal of chromatography b-analytical technologies in the biomedical and life sciences
	2014-09-01
卷号	966 页码:100-108
关键词	TSP Metabolomics Liver diseases Feature selection Top scoring pairs LC-MS
英文摘要	in systems biology, the ability to discern meaningful information that reflects the nature of related problems from large amounts of data has become a key issue. the classification method using top scoring pairs (tsp), which measures the features of a data set in pairs and selects the top ranked feature pairs to construct the classifier, has been a powerful tool in genomics data analysis because of its simplicity and interpretability. this study examined the relationship between two features, modified the ranking criteria of the k-tsp method to measure the discriminative ability of each feature pair more accurately, and correspondingly, provided an improved classification procedure. tests on eight public data sets showed the validity of the modified method. this modified k-tsp method was applied to our serum metabolomics data derived from liquid chromatography-mass spectrometry analysis of hepatocellular carcinoma and chronic liver diseases. based on the 27 selected feature pairs, hcc and chronic liver diseases were accurately distinguished using the principal component analysis, and certain profound metabolic disturbances related to liver disease development were revealed by the feature pairs. (c) 2014 elsevier b.v. all rights reserved.
WOS标题词	science & technology ; life sciences & biomedicine ; physical sciences
类目[WOS]	biochemical research methods ; chemistry, analytical
研究领域[WOS]	biochemistry & molecular biology ; chemistry
关键词[WOS]	feature-selection ; biomarker discovery ; cancer ; classification ; prediction ; urine ; metabolism ; nmr
收录类别	SCI
语种	英语
WOS记录号	WOS:000340323200012
公开日期	2016-05-09
内容类型	期刊论文
源URL	[http://cas-ir.dicp.ac.cn/handle/321008/145558]
专题	大连化学物理研究所_中国科学院大连化学物理研究所
作者单位	1.Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116024, Peoples R China 2.Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
推荐引用方式 GB/T 7714	Lin, Xiaohui,Gao, Jiuchong,Zhou, Lina,et al. A modified k-TSP algorithm and its application in LC-MS-based metabolomics study of hepatocellular carcinoma and chronic liver diseases[J]. journal of chromatography b-analytical technologies in the biomedical and life sciences,2014,966:100-108.
APA	Lin, Xiaohui,Gao, Jiuchong,Zhou, Lina,Yin, Peiyuan,&Xu, Guowang.(2014).A modified k-TSP algorithm and its application in LC-MS-based metabolomics study of hepatocellular carcinoma and chronic liver diseases.journal of chromatography b-analytical technologies in the biomedical and life sciences,966,100-108.
MLA	Lin, Xiaohui,et al."A modified k-TSP algorithm and its application in LC-MS-based metabolomics study of hepatocellular carcinoma and chronic liver diseases".journal of chromatography b-analytical technologies in the biomedical and life sciences 966(2014):100-108.