A gene selection method for cancer classification
type: Item
instance of: scholarly article
title: A gene selection method for cancer classification
zbMATH Open document ID: 1254.92032
DOI: 10.1155/2012/586246
author: Jun Tian
author: Xiaodong Wang
published in: Computational \& Mathematical Methods in Medicine
publication date: 2013-01-09T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 92C10
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6123555
Wikidata QID: Q41853763
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/586246
OpenAlex ID: W2154175714
cites work: Q5296793
cites work: Structural information content of networks: graph entropy based on local vertex functionals
description: scientific article; zbMATH DE number 6123555