用于癌症分类的基因选择方法。

A gene selection method for cancer classification.

机构信息

Faculty of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China.

出版信息

Comput Math Methods Med. 2012;2012:586246. doi: 10.1155/2012/586246. Epub 2012 Nov 20.

DOI:10.1155/2012/586246

PMID:23251228

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3509374/

Abstract

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.

摘要

本文提出了一种从大量具有疾病分类能力的基因中选择一组基因的方法。所提出的基因选择方法是根据相关性分析和 95%参考范围的概念设计的。该方法非常简单，使用了所有基因的信息。我们已经将该方法应用于白血病患者，并取得了良好的分类结果。