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Erratum to: ppiPre: predicting protein-protein interactions by combining heterogeneous features

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The original article was published in BMC Systems Biology 2013 7:S8

Erratum

The authors wish to acknowledge that the software package associated with our Research Article [1], under the name ‘ppiPre’, re-used software code for some of its functions from an existing software package, GOSemSim [2], without proper attribution and in breach of the software’s licencing terms. Additionally we neglected to cite the article by Yu et al. [3] describing the GoSemSim software.

The software code from GoSemSim [2] is used in the implementation of two GO semantic similarity measures, TCSS and IntelliGO. ppiPre additionally implements a KEGG-based similarity measure and three topological similarity measures, and integrates features with a support vector machine.

We have now updated our software package such that it is licensed under a compatible GPL version 2 licence, and revised the package to give the appropriate attribution.

We apologize for any inconvenience this oversight may have caused.

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References

  1. 1.

    Yue D, Lin G, Bingbo W. ppiPre: predicting protein-protein interactions by combining heterogeneous features. BMC Syst Biol. 2013;7 Suppl 2:S8.

  2. 2.

    Guangchuang Yu. GOSemSim. http://www.bioconductor.org/packages/release/bioc/html/GOSemSim.html. (Accessed 7 July 2015)

  3. 3.

    Yu G, Li F, Qin Y, Bo X, Wu Y, Wang S. GOSemSim: an R package for measuring semantic similarity among GO terms and gene products. Bioinformatics. 2010;26:976–8.

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Author information

Correspondence to Lin Gao.

Additional information

The online version of the original article can be found under doi:10.1186/1752-0509-7-S2-S8.

The online version of the original article can be found at http://dx.doi.org/10.1186/1752-0509-7-S2-S8.

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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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Deng, Y., Gao, L. & Wang, B. Erratum to: ppiPre: predicting protein-protein interactions by combining heterogeneous features. BMC Syst Biol 9, 50 (2015) doi:10.1186/s12918-015-0196-5

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