BMC Bioinformatics

official impact factor 3.03

Open Access Methodology article

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

Zheng Guo1,2,3*, Tianwen Zhang1, Xia Li1,2,3, Qi Wang2, Jianzhen Xu2, Hui Yu2, Jing Zhu2, Haiyun Wang3, Chenguang Wang2, Eric J Topol4, Qing Wang4 and Shaoqi Rao2,4*

Author Affiliations

1 Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China

2 Department of Bioinformatics, Harbin Medical University, Harbin 150086, China

3 School of Biological Science and Technology, Tongji University, Shanghai, 200092, China

4 Department of Molecular Cardiology and Department of Cardiovascular Medicine, the Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, Ohio 44195, USA

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BMC Bioinformatics 2005, 6:58 doi:10.1186/1471-2105-6-58

Published: 17 March 2005

Additional files

Additional File 1:

Further comparison of different gene expression measures for classification of biological phenotypes using four large-scale datasets

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