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Identification of Biomarkers for Esophageal Squamous Cell Carcinoma Using Feature Selection and Decision Tree Methods
Joint Authors
Tung, C.-W.
Chen, Yu-Kuei
Wu, Chun-Chieh
Chen, Wei-Chung
Li, Hsien-Pin
Chou, Shah-Hwa
Wu, I-Chen
Wu, Ming-Tsang
Wu, Deng-Chyang
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Esophageal squamous cell cancer (ESCC) is one of the most common fatal human cancers.
The identification of biomarkers for early detection could be a promising strategy to decrease mortality.
Previous studies utilized microarray techniques to identify more than one hundred genes; however, it is desirable to identify a small set of biomarkers for clinical use.
This study proposes a sequential forward feature selection algorithm to design decision tree models for discriminating ESCC from normal tissues.
Two potential biomarkers of RUVBL1 and CNIH were identified and validated based on two public available microarray datasets.
To test the discrimination ability of the two biomarkers, 17 pairs of expression profiles of ESCC and normal tissues from Taiwanese male patients were measured by using microarray techniques.
The classification accuracies of the two biomarkers in all three datasets were higher than 90%.
Interpretable decision tree models were constructed to analyze expression patterns of the two biomarkers.
RUVBL1 was consistently overexpressed in all three datasets, although we found inconsistent CNIH expression possibly affected by the diverse major risk factors for ESCC across different areas.
American Psychological Association (APA)
Tung, C.-W.& Wu, Ming-Tsang& Chen, Yu-Kuei& Wu, Chun-Chieh& Chen, Wei-Chung& Li, Hsien-Pin…[et al.]. 2013. Identification of Biomarkers for Esophageal Squamous Cell Carcinoma Using Feature Selection and Decision Tree Methods. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1033298
Modern Language Association (MLA)
Tung, C.-W.…[et al.]. Identification of Biomarkers for Esophageal Squamous Cell Carcinoma Using Feature Selection and Decision Tree Methods. The Scientific World Journal No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1033298
American Medical Association (AMA)
Tung, C.-W.& Wu, Ming-Tsang& Chen, Yu-Kuei& Wu, Chun-Chieh& Chen, Wei-Chung& Li, Hsien-Pin…[et al.]. Identification of Biomarkers for Esophageal Squamous Cell Carcinoma Using Feature Selection and Decision Tree Methods. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1033298
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033298