Selecting informative genes from microarray data by using hybrid methods for cancer classification

• Main Authors: Mohamad, Mohd Saberi, Omatu, Sigeru, Deris, Safaai, Misman, Muhammad Faiz, Yoshioka, Michifumi
• Format: Article
• Published: Springer Verlag 2009
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/13094/; http://dx.doi.org/10.1007/s10015-008-0534-4
• Institution: Universiti Teknologi Malaysia

Gene expression technology, namely microarrays, offers the ability to measure the expression levels of thousands of genes simultaneously in biological organisms. Microarray data are expected to be of significant help in the development of an efficient cancer diagnosis and classification platform. A...