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. 2016 Oct 6;17(Suppl 13):351. doi: 10.1186/s12859-016-1224-1

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© The Author(s) 2016

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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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Fig. 1 — Discriminative power of subnetwork markers identified on GSE2034 by different methods. We computed the average absolute t-test score of the top K=10, 20, 30, 40, and 50 subnetwork markers identified on GSE2034 by various methods for the following PPI datasets: a Chuang, b HPRD, c GASOLINE, and d BioGRID