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Open Access Highly Accessed Methodology article

Knowledge-guided gene ranking by coordinative component analysis

Chen Wang1, Jianhua Xuan1*, Huai Li2, Yue Wang1, Ming Zhan2, Eric P Hoffman3 and Robert Clarke4

Author Affiliations

1 Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA

2 Bioinformatics Unit, Research Resources Branch, National Institute on Aging, NIH, Baltimore, MD, USA

3 Research Center for Genetic Medicine, Children's National Medical Center, Washington, DC, USA

4 Departments of Oncology and Physiology & Biophysics, Georgetown University School of Medicine, Washington, DC, USA

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BMC Bioinformatics 2010, 11:162  doi:10.1186/1471-2105-11-162

Published: 30 March 2010

Additional files

Additional file 1:

Supplementary information of the COCA method. The supplementary information includes a geometrical interpretation of the method, the concept of linear extraction and ambiguity correction, and supplementary results of yeast cell cycle and stem cell studies.

Format: PDF Size: 636KB Download file

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Open Data

Additional file 2:

The top 500 probe sets ranked by Notch pathway-guided COCA approach.

Format: PDF Size: 40KB Download file

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Open Data

Additional file 3:

The top 500 probe sets ranked by JAK/STAT pathway-guided COCA approach.

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Open Data

Additional file 4:

The top 500 probe sets ranked by TGFβ pathway-guided COCA approach.

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Open Data

Additional file 5:

The top 500 probe sets ranked by WNT pathway-guided COCA approach.

Format: PDF Size: 39KB Download file

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Open Data