  Research articleMerging microarray data from separate breast cancer studies provides a robust prognostic testLei Xu1 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
BMC Bioinformatics 2008, 9:125doi:10.1186/1471-2105-9-125
Additional filesAdditional 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 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 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 |
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