Towards precise classification of cancers based on robust gene functional expression profiles

Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. The accumulated experiment evidence supports the assumption that genes express and perform their functions in modular fashions in cells. Therefore, there is an open space for development of the timely and relevant computational algorithms that use robust functional expression profiles towards precise classification of complex human diseases at the modular level. Results: Inspired by the insight that genes act as a module to carry out a highly integrated cellular function, we thus define a low dimension functional expression profile for data reduction. After annotating each individual gene to functional categories defined in a proper gene function classification system such as Gene Ontology applied in this study, we identify those functional categories enriched with differentially expressed genes. For each funct...

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhen Xu, Hui Yu, Jing Zhu, Haiyun Wang, Chenguang Wang, Eric J. Topol, Qing Wang, Shaoqi Rao
• Keywords: BMCBI 2005, Functional Expression, Functional Expression Profiles, Gene