A review of gene selection tools in classifying cancer microarray data

• Main Authors: Shi, T. W., Kah, W. S., Mohamad, M. S., Moorthy, K., Deris, S., Sjaugi, M. F., Omatu, S., Corchado, J. M., Kasim, S.
• Format: Article
• Published: Bentham Science Publishers B.V. 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/80882/; http://dx.doi.org/10.2174/1574893610666151026215104

Background: 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...