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Open Access Highly Accessed Research article

Merging microarray data from separate breast cancer studies provides a robust prognostic test

Lei Xu1*, Aik Choon Tan1, Raimond L Winslow1 and Donald Geman12

Author Affiliations

1 The Institute for Computational Medicine and Center for Cardiovascular Bioinformatics and Modeling, Johns Hopkins University, Baltimore, MD 21218, USA

2 Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA

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BMC Bioinformatics 2008, 9:125  doi:10.1186/1471-2105-9-125

Published: 27 February 2008

Additional files

Additional file 1:

Clustering of the training data. Shown is the heat map of the two-group (good- and poor-outcome) supervised clusters of the integrated training data for the 112 signature genes. Those genes which appear in multiple pairs among the 80 gene pairs in the signature will appear multiple times in the heat map. The total number of the rows is 160.

Format: JPEG Size: 759KB Download file

Open Data

Additional file 2:

Clustering of the test data. Shown is the heat map of the two-group (good- and poor-outcome) supervised clusters of the test data (Pawitan) for the 112 signature genes. Those genes which appear in multiple pairs among the 80 gene pairs in the signature will appear multiple times in the heat map. The total number of the rows is 160.

Format: JPEG Size: 368KB Download file

Open Data

Additional file 3:

The cell cycle pathway. Our signature genes which appear in the cell cycle pathway are shown in red.

Format: JPEG Size: 147KB Download file

Open Data