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A review of gene selection tools in classifying cancer microarray data

Tham, Wen Shi and Wong, Sou Kah and Mohamad, Mohd Saberi and Moorthy, Kohbalan and Deris, Safaai and Sjaugi, Muhammad Farhan and Omatu, Sigeru and Rodríguez, Juan Manuel Corchado and Kasim, Shahreen (2017) A review of gene selection tools in classifying cancer microarray data. Current Bioinformatics, 12 (3). pp. 202-212. ISSN 2212392X

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Abstract

The measurement of expression levels of many genes through a single experiment is now possible due to the development of DNA microarray technology. However, many computational methods are having difficulties in selecting a small subset of genes because there are a few samples compared to the huge number of genes, irrelevant genes and noisy genes. However, many In addition, most studies focus on selecting a small subset without analysing the genes’ functional and biological characteristics. Many researchers are continuously seeking solutions to this problem. Microarray data analysis has been successfully applied to gene selection algorithms in a different development environment. Many different tools have been generated for gene selection in classifying microarray data. A suitable and user friendly tool for users and biomedical researchers should be developed to avoid selection biases and allow analysis of multiple solutions. This paper presents a review of existing tools for gene selection divided into four different categories.

Item Type: Article
Uncontrolled Keywords: Gene selection; tools; web-based; MATLAB; R package; C++; cancer classification; bioinformatics; artificial intelligence
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 31 Mar 2019 07:37
Last Modified: 31 Mar 2019 07:37
URI: http://eprints.uthm.edu.my/id/eprint/10916
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