Mining expressed sequence tags identifies cancer markers of clinical interest
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* Corresponding author: Fabien Campagne fac2003@med.cornell.edu
Institute for Computational Biomedicine and Dept. of Physiology and Biophysics, Weill Medical College of Cornell University; 1300 York Ave; New York, NY 10021, USA
BMC Bioinformatics 2006, 7:481 doi:10.1186/1471-2105-7-481
Published: 1 November 2006Additional files
Additional file 1:
Description of supplementary files. Description of supplementary files and Supplementary Figures 1–10 (graphical view of Ingenuity Networks).
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Additional File 2:
Supplementary Table 1. Description and annotation of 39 genes identified by both the human and the mouse dbEST screens.
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Additional file 3:
Supplementary Table 2. Microarray evaluation datasets used.
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Additional file 4:
Supplementary Table 3. Descriptions of the classifications tasks performed in the microarray evaluation study.
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Additional file 5:
Supplementary Table 4. Evaluation statistics.
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Additional file 6:
Supplementary Table 5. Description of the gene lists.
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Additional file 7:
Supplementary Table 6. Ingenuity networks in tabular format.
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