A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes
Joint Authors
Li, Li
Chen, Hongmei
Liu, Chang
Wang, Fang
Zhang, Fangfang
Bai, Lihua
Chen, Yihan
Peng, Luying
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-07
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Microarray data are high dimension with high noise ratio and relatively small sample size, which makes it a challenge to use microarray data to identify candidate disease genes.
Here, we have presented a hybrid method that combines estimation of distribution algorithm with support vector machine for selection of key feature genes.
We have benchmarked the method using the microarray data of both diffuse B cell lymphoma and colon cancer to demonstrate its performance for identifying key features from the profile data of high-dimension gene expression.
The method was compared with a probabilistic model based on genetic algorithm and another hybrid method based on both genetics algorithm and support vector machine.
The results showed that the proposed method provides new computational strategy for hunting candidate disease genes from the profile data of disease gene expression.
The selected candidate disease genes may help to improve the diagnosis and treatment for diseases.
American Psychological Association (APA)
Li, Li& Chen, Hongmei& Liu, Chang& Wang, Fang& Zhang, Fangfang& Bai, Lihua…[et al.]. 2013. A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1012145
Modern Language Association (MLA)
Li, Li…[et al.]. A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes. The Scientific World Journal No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1012145
American Medical Association (AMA)
Li, Li& Chen, Hongmei& Liu, Chang& Wang, Fang& Zhang, Fangfang& Bai, Lihua…[et al.]. A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1012145
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1012145