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. 2015 Apr 11;16:115. doi: 10.1186/s12859-015-0551-y

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© Glass et al.; licensee BioMed Central. 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Proposed therapeutic approaches. (A) A summary of the results found by comparing the expression patterns of genes in “treatment” versus “control” samples in each of the GEO datasets to “classes” of genes defined in our network analysis. We report the significance of association of differential expression with the indicated gene class, using a GSEA approach [110]; colors indicate direction of differential expression (red - increase upon treatment, blue - decrease upon treatment). (B) An illustration of some of the key findings regarding the potential mechanisms driving angiogenesis in ovarian cancer found using PANDA, as well as three potential treatments that may inhibit angiogenesis.