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

•A modified k top scoring pairs (k-TSP) method is suggested to provide an improved classification procedure.•This new k-TSP method was applied to serum metabolomics data derived from LC–MS of liver diseases.•The metabolic feature pairs can be effectively used to differentiate HCC from chronic liver...

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Bibliographic Details
Published in:	Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Vol. 966; pp. 100 - 108
Main Authors:	Lin, Xiaohui, Gao, Jiuchong, Zhou, Lina, Yin, Peiyuan, Xu, Guowang
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.09.2014
Subjects:	Algorithms blood serum Carcinoma, Hepatocellular - blood Carcinoma, Hepatocellular - metabolism Chromatography Chromatography, Liquid - methods Classification data collection Diseases Feature selection genomics hepatoma Humans LC–MS liquid chromatography Liver Liver diseases Liver Diseases - blood Liver Diseases - metabolism Liver Neoplasms - blood Liver Neoplasms - metabolism mass spectrometry Mass Spectrometry - methods Metabolome Metabolomics Metabolomics - methods Principal component analysis Top scoring pairs TSP TSP Metabolomics Feature selection Liver diseases Top scoring pairs LC–MS
ISSN:	1570-0232, 1873-376X, 1873-376X
Online Access:	Get full text
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