Selecting informative genes of lung cancers by a combination of hybrid methods

• Main Authors: Mohamad, Mohd. Saberi, Omatu, Sigeru, Deris, Safaai, Yoshioka, Michifuci
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2008
• Subjects: QA75 Electronic computers. Computer science; RC0254 Neoplasms. Tumors. Oncology (including Cancer)
• Online Access: http://eprints.utm.my/id/eprint/11020/1/MohdSaberiMohamad2008_SelectingInformativeGenesOfLung.pdf; http://eprints.utm.my/id/eprint/11020/
• Institution: Universiti Teknologi Malaysia

Gene expression technology namely microarray, 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 efficient cancer diagnosis and classification platform. A major...