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Are filter methods very effective in gene selection of microarray data?

  • Zhou Jun Li*
  • , Li Juan Zhang
  • , Huo Wang Chen
  • *此作品的通讯作者
  • National University of Defense Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Feature (Gene) selection is a frequently used preprocessing technology for successful cancer classification task in microarray gene expression data analysis. Widely used gene selection approaches are mainly focused on the filter methods. Filter methods are usually considered to be very effective and efficient for high-dimensional data. This paper reviews the existing filter methods, and shows the performance of the representative algorithms on microarray data by extensive experimental study. Surprisingly, the experimental results show that filter methods are not very effective on microarray data. We analyze the cause of the result and provide the basic ideas for potential solutions.

源语言英语
主期刊名Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW
出版商Institute of Electrical and Electronics Engineers Inc.
97-100
页数4
ISBN(印刷版)9781424416042
DOI
出版状态已出版 - 2007
活动2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW - San Jose, CA, 美国
期限: 2 11月 20074 11月 2007

出版系列

姓名Proceedings - 2007 IEEE International Conference on Bioinformaticsand Biomedicine Workshops, BIBMW

会议

会议2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW
国家/地区美国
San Jose, CA
时期2/11/074/11/07

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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