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
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* Corresponding authors: Xia Li lixia@hrbmu.edu.cn - Baofeng Yang yangbf@ems.hrbmu.edu.cn
- Equal contributors
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
BMC Systems Biology 2008, 2:72 doi:10.1186/1752-0509-2-72
Published: 10 August 2008Additional 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.
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