BMC Systems Biology

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Constructing disease-specific gene networks using pair-wise relevance metric: Application to colon cancer identifies interleukin 8, desmin and enolase 1 as the central elements

Wei Jiang1, Xia Li1,2*, Shaoqi Rao1,2,3,4, Lihong Wang1, Lei Du1, Chuanxing Li1, Chao Wu1, Hongzhi Wang5, Yadong Wang5 and Baofeng Yang1*

Author Affiliations

1 College of Bioinformatics Science and Technology and Bio-pharmaceutical Key Laboratory of Heilongjiang Province, Harbin Medical University, Harbin 150081, PR China

2 Department of Bioinformatics, Capital University of Medical Sciences, Beijing 100084, PR China

3 Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, PR China

4 Department of Molecular Cardiology, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, Ohio 44195, USA

5 Department of Computer Science, Harbin Institute of Technology, Harbin 150080, PR China

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BMC Systems Biology 2008, 2:72 doi:10.1186/1752-0509-2-72

Published: 10 August 2008

Additional files

Additional file 1:

The AFV values of the 200 colon cancer-specific gene interactions.

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Additional file 2:

Application of the novel network approach to prostate cancer microarray data.

Format: PDF Size: 253KB Download file

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