A multi-objective heuristic algorithm for gene expression microarray data classification
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- 作者：Jia Lv answer_lv@stu.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Qinke Peng ; qkpeng@mail.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Xiao Chen xchen_xjtu@163.com" class="auth_mail" title="E-mail the corresponding author ; Zhi Sun sun.zhi@stu.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Microarray ; Gene selection ; Small number of selected genes ; Multi-objective ; Heuristic algorithm
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：15 October 2016
- 年：2016
- 卷：59
- 期：Complete
- 页码：13-19
- 全文大小：1208 K
文摘
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A multi-objective model for microarray based on analytic hierarchy process is built.
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A heuristic algorithm improved from UMDA called MOEDA is to solve the model.
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Both classification accuracy and number of genes are the objectives.
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The classification accuracy is treated absolutely important than the number of genes.
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It always gets high accuracy with small number of genes on microarray data.