Research article
Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis
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
BMC Medical Genomics 2011, 4:5 doi:10.1186/1755-8794-4-5
Published: 12 January 2011Additional 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
This file can be viewed with: Microsoft Word Viewer
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
