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. 2017 Jul 19;7:5805. doi: 10.1038/s41598-017-06020-6

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Detection rate of network growing tools after randomization of IHFs and random human proteins. (a) Comparison of the detection performance of the network growing tools after growing 100 genes using either small set (30 genes) IHFs or random human proteins as seeds and 1463 IHFs as positive sets. P-values are the result of a paired Student-t test analysis. (b) Comparison of the detection performance of the network growing tools after growing 100 genes using either medium set (146 genes) IHFs or random human proteins as seeds and 1463 IHFs as positive sets. P-values are the result of a paired Student-t test analysis. (c) Detection performance comparison of the three network growing tools (d) The detection rate of STRING and GeneMANIA after combination and interchange of the 1^st 50 grown genes.