Literature DB >> 26319399

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

Yue Deng1,2, Lin Gao3, Bingbo Wang4.   

Abstract

Year:  2015        PMID: 26319399      PMCID: PMC4553018          DOI: 10.1186/s12918-015-0196-5

Source DB:  PubMed          Journal:  BMC Syst Biol        ISSN: 1752-0509


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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.
  2 in total

1.  GOSemSim: an R package for measuring semantic similarity among GO terms and gene products.

Authors:  Guangchuang Yu; Fei Li; Yide Qin; Xiaochen Bo; Yibo Wu; Shengqi Wang
Journal:  Bioinformatics       Date:  2010-02-23       Impact factor: 6.937

2.  ppiPre: predicting protein-protein interactions by combining heterogeneous features.

Authors:  Yue Deng; Lin Gao; Bingbo Wang
Journal:  BMC Syst Biol       Date:  2013-10-14
  2 in total

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