Open Access Research article

Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis

Shuangge Ma1*, Michael R Kosorok2, Jian Huang3 and Ying Dai1

Author Affiliations

1 School of Public Health, Yale University, New Haven, CT, USA

2 Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

3 Departments of Statistics and Actuarial Science, and Biostatistics, University of Iowa, Iowa City, IA, USA

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BMC Medical Genomics 2011, 4:5  doi:10.1186/1755-8794-4-5

Published: 12 January 2011

Additional files

Additional file 1:

Results on network module construction. This additional file contains the details on the network modules constructed using WGCNA.

Format: DOC Size: 202KB Download file

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Additional file 2:

Analysis results. This additional file contains the detailed analysis results for dataset D1-D6.

Format: XLS Size: 51KB Download file

This file can be viewed with: Microsoft Excel Viewer

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