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Open Access Research article

Biomarker robustness reveals the PDGF network as driving disease outcome in ovarian cancer patients in multiple studies

Rotem Ben-Hamo and Sol Efroni*

Author Affiliations

The Mina and Everard Goodman Faculty of Life Science, Bar Ilan University, Keren Hayesod St., Ramat-Gan, 52900, Israel

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BMC Systems Biology 2012, 6:3  doi:10.1186/1752-0509-6-3

Published: 11 January 2012

Additional files

Additional file 1:

Genes Kaplan-Meier p-value. The table presents the gene symbol, gene probe and kaplan-meier log-rank p-value of all the significant genes in the three datasets.

Format: PDF Size: 346KB Download file

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Open Data

Additional file 2:

Pathways Kaplan-Meier p-value. The table presents the pathways name and kaplan-meier log-rank p-value of all the significant pathways in the three datasets.

Format: PDF Size: 103KB Download file

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Open Data

Additional file 3:

FOS-JUN Correlation. The table presents the correlations between FOS and JUN, which are eventually the pathways output, in the two survival group. Group1, which correlates with higher survival rates, shows stronger correlation between the genes.

Format: PDF Size: 68KB Download file

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Open Data

Additional file 4:

Pathway calculation algorithm pipeline. The figure describes the calculation steps performed by the PathOlogist algorithm, starting with the RMA gene-expression levels.

Format: PDF Size: 157KB Download file

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Open Data