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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
395-398

New APSO algorithm for gene selection combined with Relief-F and decision tree

Ye Chaochao
Pan Julong
College of Information Engineering, China Jiliang University, Hangzhou 310018, China
DOI: 10.19734/j.issn.1001-3695.2017.08.0872

Abstract

Due to the characteristics of gene expression data in high dimension, high noise and small sample, gene selection had been one of the major challenges in tumor classification. In order to improve the accuracy of tumor classification and ensure the efficiency of gene selection, this paper developed a new algorithm R-C-APSO using an adaptive particle swarm optimization(APSO) combined with Relief-F and CART decision tree. The algorithm utilized Relief-F to quickly filter a large number of irrelevant genes and noises, narrowing the gene selection range. The R-C-APSO used the CART decision tree as a fitness function, and APSO algorithm performed the final search of the genes. Based on the analysis of 6 data sets, the experimental results show that R-C-APSO can obtain high classification accuracy and fast gene selection speed, and has good stability.

Foundation Support

国家自然科学基金资助项目(61272315)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0872
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Algorithm Research & Explore
Pages: 395-398
Serial Number: 1001-3695(2019)02-018-0395-04

Publish History

[2019-02-05] Printed Article

Cite This Article

叶超超, 潘巨龙. 面向基因选择的结合Relief-F和决策树的APSO算法 [J]. 计算机应用研究, 2019, 36 (2): 395-398. (Ye Chaochao, Pan Julong. New APSO algorithm for gene selection combined with Relief-F and decision tree [J]. Application Research of Computers, 2019, 36 (2): 395-398. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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