- Open Access
Erratum to: ppiPre: predicting protein-protein interactions by combining heterogeneous features
BMC Systems Biology volume 9, Article number: 50 (2015)
- The original article was published in BMC Systems Biology 2013 7:S8
The authors wish to acknowledge that the software package associated with our Research Article , under the name ‘ppiPre’, re-used software code for some of its functions from an existing software package, GOSemSim , without proper attribution and in breach of the software’s licencing terms. Additionally we neglected to cite the article by Yu et al.  describing the GoSemSim software.
The software code from GoSemSim  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.
Availability and Requirements
Project name: ppiPre.
Project home page: http://cran.r-project.org/web/packages/ppiPre/index.html.
Operating system(s): Platform independent.
Programming language: R.
Other requirements: None.
Any restrictions to use by non-academics: None.
Yue D, Lin G, Bingbo W. ppiPre: predicting protein-protein interactions by combining heterogeneous features. BMC Syst Biol. 2013;7 Suppl 2:S8.
Guangchuang Yu. GOSemSim. http://www.bioconductor.org/packages/release/bioc/html/GOSemSim.html. (Accessed 7 July 2015)
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.
The online version of the original article can be found under doi:10.1186/1752-0509-7-S2-S8.
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Cite this article
Deng, Y., Gao, L. & Wang, B. Erratum to: ppiPre: predicting protein-protein interactions by combining heterogeneous features. BMC Syst Biol 9, 50 (2015). https://doi.org/10.1186/s12918-015-0196-5