Open Access Highly Accessed Research article

Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures

Cheng Fan1, Aleix Prat12, Joel S Parker12, Yufeng Liu37, Lisa A Carey4, Melissa A Troester5 and Charles M Perou1267*

Author Affiliations

1 Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA

2 Department of Genetics, University of North Carolina, Chapel Hill, USA

3 Department of Statistics & Operations Research, University of North Carolina, Chapel Hill, USA

4 Department of Medicine, Division of Oncology, University of North Carolina, Chapel Hill, USA

5 Department of Epidemiology, University of North Carolina, Chapel Hill, USA

6 Department of Pathology & Laboratory Medicine, University of North Carolina, Chapel Hill, USA

7 Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, USA

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BMC Medical Genomics 2011, 4:3  doi:10.1186/1755-8794-4-3

Published: 9 January 2011

Additional files

Additional file 1:

Supplemental materials and methods. This file contains all the gene lists and methods used for the 323 modules evaluated in this article.

Format: XLS Size: 3.7MB Download file

This file can be viewed with: Microsoft Excel Viewer

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Additional file 2:

Supplemental data. This file contains additional analyses and results.

Format: PDF Size: 3.8MB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data