淡江大學機構典藏:Item 987654321/95792
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 64176/96941 (66%)
造访人次 : 9125232      在线人数 : 14247
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/95792


    题名: Improved Feature Selection on Microarray Expression Data
    作者: Hsieh, Cheng-Wei;Hsu, Hui-Huang;Lu, Ming-Da
    贡献者: 淡江大學資訊工程學系
    关键词: Feature selection;Filter;Wrapper;Support vector machine;Microarray
    日期: 2008-11
    上传时间: 2014-02-13
    摘要: To identify the relationship between genes and cancers, microarray is always helpful. However, the number of microarray data is quite large, and it is not easy to find out the disease gene from all the microarray data. This paper presents an improved feature selection to filter out the most irrelative or redundant genes. By combining the benefits of "filters" and "wrappers" feature selection, we can not only reduce the processing time of feature selection, but also increase the classification accuracy. In the result, we make a successful result with only 70 genes from 7,129 genes and 70 genes from 12,533 genes in leukemia and Lung cancer microarray data sets. The classification accuracy of leukemia and Lung cancer microarray data are 98.61% and 100%, respectively.
    關聯: Proceedings of the 2008 International Computer Symposium (ICS 2008),6頁
    显示于类别:[資訊工程學系暨研究所] 會議論文

    文件中的档案:

    档案 大小格式浏览次数
    Improved Feature Selection on Microarray Expression Data_英文摘要.docx19KbMicrosoft Word144检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈