教師資料查詢 | 類別: 期刊論文 | 教師: 陳昆皇 KUN-HUANG CHEN (瀏覽個人網頁)

標題:Applying Particle Swarm Optimization-Based Decision Tree Classifier for Cancer Classification on Gene Expression Data
學年103
學期1
出版(發表)日期2014/11/01
作品名稱Applying Particle Swarm Optimization-Based Decision Tree Classifier for Cancer Classification on Gene Expression Data
作品名稱(其他語言)
著者K.-H. Chen; K.-J. Wang; K.-M. Wang; A-M. Adrian
單位
出版者
著錄名稱、卷期、頁數Applied Soft Computing 24, pp.773-780
摘要Background

The application of microarray data for cancer classification is important. Researchers have tried to analyze gene expression data using various computational intelligence methods.

Purpose

We propose a novel method for gene selection utilizing particle swarm optimization combined with a decision tree as the classifier to select a small number of informative genes from the thousands of genes in the data that can contribute in identifying cancers.

Conclusion

Statistical analysis reveals that our proposed method outperforms other popular classifiers, i.e., support vector machine, self-organizing map, back propagation neural network, and C4.5 decision tree, by conducting experiments on 11 gene expression cancer datasets.
關鍵字Cancer classification;Gene expression;Particle swarm optimization;C4.5
語言英文
ISSN1568-4946;1872-9681
期刊性質國外
收錄於SCI;
產學合作
通訊作者K.-J. Wang
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版
相關連結
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