A Gene Selection Method for Cancer Classification

نویسندگان

  • Xiaodong Wang
  • Jun Tian
چکیده

This paper proposes a method to select a set of genes from a large number of genes with the ability of classifying types of diseases. The proposed gene selection method is designed according to correlation analysis and the concept of 95% reference range. The method is very simple and uses the information of all genes. We have used the method in leukemia patients and achieved good classification results.

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عنوان ژورنال:

دوره 2012  شماره 

صفحات  -

تاریخ انتشار 2012