Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/23746
Title: | Genetic programming based ensemble system for microarray data classification | Authors: | Liu, KH Tong, M Xie, ST Ng, VTY |
Issue Date: | 2015 | Source: | Computational and mathematical methods in medicine, 2015, 193406 | Abstract: | Recently, more and more machine learning techniques have been applied to microarray data analysis. The aim of this study is to propose a genetic programming (GP) based new ensemble system (named GPES), which can be used to effectively classify different types of cancers. Decision trees are deployed as base classifiers in this ensemble framework with three operators: Min, Max, and Average. Each individual of the GP is an ensemble system, and they become more and more accurate in the evolutionary process. The feature selection technique and balanced subsampling technique are applied to increase the diversity in each ensemble system. The final ensemble committee is selected by a forward search algorithm, which is shown to be capable of fitting data automatically. The performance of GPES is evaluated using five binary class and six multiclass microarray datasets, and results show that the algorithm can achieve better results in most cases compared with some other ensemble systems. By using elaborate base classifiers or applying other sampling techniques, the performance of GPES may be further improved. | Publisher: | Hindawi Publishing Corporation | Journal: | Computational and Mathematical Methods in Medicine | ISSN: | 1748-670X | DOI: | 10.1155/2015/193406 | Rights: | Copyright © 2015 Kun-Hong Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The following article: Liu, K. H., Tong, M., Xie, S. T., & Yee Ng, V. T. (2015). Genetic programming based ensemble system for microarray data classification. Computational and mathematical methods in medicine, 2015, is available at https//doi.org/10.1155/2015/193406 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Liu_Genetic_Programming_Based.pdf | 1.52 MB | Adobe PDF | View/Open |
Page views
125
Last Week
2
2
Last month
Citations as of Mar 24, 2024
Downloads
96
Citations as of Mar 24, 2024
SCOPUSTM
Citations
21
Last Week
0
0
Last month
0
0
Citations as of Mar 28, 2024
WEB OF SCIENCETM
Citations
15
Last Week
0
0
Last month
0
0
Citations as of Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.