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Open Access Highly Accessed Research article

Core module biomarker identification with network exploration for breast cancer metastasis

Ruoting Yang1, Bernie J Daigle2, Linda R Petzold123 and Francis J Doyle14*

Author Affiliations

1 Institute for Collaborative Biotechnologies, University of California Santa Barbara, Santa Barbara, CA 93106-5080, USA

2 Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA 93106-5110, USA

3 Department of Mechanical Engineering, University of California Santa Barbara, Santa Barbara, CA 93106-5070, USA

4 Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA 93106-5080, USA

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BMC Bioinformatics 2012, 13:12  doi:10.1186/1471-2105-13-12

Published: 18 January 2012

Additional files

Additional file 1:

Figure S1: Comparison of CMI and other pathway inference methods using SVM-CFE classifiers subject to top 100 inferred pathways.

Format: TIFF Size: 434KB Download file

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Additional file 2:

Table S1: List of core module genes identified by CMI and CORG.

Format: XLSX Size: 20KB Download file

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Additional file 3:

Table S2: Pathway markers identified by all methods.

Format: XLSX Size: 28KB Download file

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Additional file 4:

Table S3: List of core module genes overlaid in KEGG pathway of cancers.

Format: XLSX Size: 14KB Download file

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Additional file 5:

Figure S2: Unique core module of cancer pathway identified by CORG-COMBINER method.

Format: TIFF Size: 712KB Download file

Open Data