Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/28298
Title: Development and application of bioinformatics tools for discovery disease markers and disease targeting antibodies
Authors: TANG ZHIQUN
Keywords: Bioinformatics, Support Vector Machines, Disease Marker, Disease genes, antibody-antigen interaction, database
Issue Date: 7-Jul-2008
Source: TANG ZHIQUN (2008-07-07). Development and application of bioinformatics tools for discovery disease markers and disease targeting antibodies. ScholarBank@NUS Repository.
Abstract: Finding the marker genes responsible for disease initiation and progress is essential because these marker genes present potential therapeutic drug targets and may give hints to adequate treatment regime. However, stable marker genes are difficult to be obtained by conventional methods. In this study, we attempted to develop a novel gene selection scheme based upon support vector machines, recursive feature elimination, multiple random sampling strategies and multi-step evaluation of gene-ranking consistency through microarray data analysis approach. The stable disease markers were successfully derived by the technique. The derived markers, evaluated by different microarray dataset combinations, were proved to possess both good prediction performance and high levels of consistency. The marker genes could be also employed to find targeted therapeutic molecules using antibodies as an example. A therapeutic antibody prediction system was built based upon antibody-antigen sequence recognition information. Outcomes show that the system can provide detailed insights into antigen-antibody interactions and the role of antibodies for disease prevention and treatment.
URI: http://scholarbank.nus.edu.sg/handle/10635/28298
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