dc.contributor.authorYang, Peng
dc.date.accessioned2014-04-28T02:05:13Z
dc.date.accessioned2017-07-23T08:30:00Z
dc.date.available2014-04-28T02:05:13Z
dc.date.available2017-07-23T08:30:00Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.citationYang, P. (2014). Computational approaches for disease gene identification. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/59238
dc.description.abstractIdentifying disease genes from the human genome is a crucial but challenging task in the area of bioinformatics research and medical health. In wet-lab experiments, disease genes are identified using mutation analysis, which is very expensive and labor intensive. In this thesis, we proposed novel computational approaches to prioritize and identify disease genes. The experimental results show that our work is more robust and accurate than other state-of-the-the-art techniques for disease gene identification.en_US
dc.format.extent179 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information systems applicationsen_US
dc.titleComputational approaches for disease gene identificationen_US
dc.typeThesis
dc.contributor.researchBioinformatics Research Centreen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.supervisorKwoh Chee Keong (SCE)en_US
dc.contributor.supervisorLi Xiaoli (SCE)en_US
dc.contributor.supervisorNg See-Kiong
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en_US


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