Biomarker identification based on gene microarray data

• Main Author: Neo, Jun Xiong
• Other Authors: Mao Kezhi
• Format: Final Year Project
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
• Online Access: http://hdl.handle.net/10356/50133
• Institution: Nanyang Technological University

Much has been studied about cancer and one of the most extensively researched areas has been in cancer detection. Breakthrough in technology have allow scientists and researchers to identify a particular set of genes which can allow them recognize whether it possesses characteristics, exhibited by cancerous genes. These set of genes are also known as biomarker. DNA Microarray technology has allowed scientists and researchers to amass a vast number of genes, also known as features, in various numbers of samples to do research. However the pool of genes acquired in a DNA Microarray experiment may span to a few thousand genes and only a few of these genes are biomarkers, while the rest of the genes do not provide any useful data. Thus, a technique has to be thought in order to identify and classify biomarkers. In this report, the author will look at various feature selection as well as classification techniques to identify biomarkers given a set of microarray data.