Document Detail

A modified k-TSP algorithm and its application in LC-MS-based metabolomics study of hepatocellular carcinoma and chronic liver diseases.
MedLine Citation:
PMID:  24939728     Owner:  NLM     Status:  Publisher    
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.
Xiaohui Lin; Jiuchong Gao; Lina Zhou; Peiyuan Yin; Guowang Xu
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-6-2
Journal Detail:
Title:  Journal of chromatography. B, Analytical technologies in the biomedical and life sciences     Volume:  -     ISSN:  1873-376X     ISO Abbreviation:  J. Chromatogr. B Analyt. Technol. Biomed. Life Sci.     Publication Date:  2014 Jun 
Date Detail:
Created Date:  2014-6-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101139554     Medline TA:  J Chromatogr B Analyt Technol Biomed Life Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014 Elsevier B.V. All rights reserved.
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