Erratum to: ppiPre: predicting protein-protein interactions by combining heterogeneous features
Yue Deng, Lin Gao, Bingbo Wang
Abstract
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Taxonomy
TopicsBioinformatics and Genomic Networks · Computational Drug Discovery Methods · Machine Learning in Bioinformatics
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.
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.
- License: GPL-2.
- Any restrictions to use by non-academics: None.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Yue D Lin G Bingbo Wppi Pre: predicting protein-protein interactions by combining heterogeneous features BMC Syst Biol 20137 Suppl 2S 810.1186/1752-0509-7-S 2-S 8PMC 385181424565177 · doi ↗ · pubmed ↗
- 2Guangchuang Yu. GO Sem Sim. http://www.bioconductor.org/packages/release/bioc/html/GO Sem Sim.html. (Accessed 7 July 2015)
- 3Yu G Li F Qin Y Bo X Wu Y Wang SGO Sem Sim: an R package for measuring semantic similarity among GO terms and gene products Bioinformatics 20102697697810.1093/bioinformatics/btq 06420179076 · doi ↗ · pubmed ↗