ppiPre: Predict protein-protein interactions based on functional and topological similarities

This package provides functions for computing similarities between proteins based on their GO annotation, KEGG annotation and PPI network topology. It integrates seven features (TCSS, IntelliGO, Wang, KEGG, Jaccard, RA and AA) to predict PPIs using an SVM classifier. Some internal functions are derived from R package GOSemSim authored by Guangchuang Yu.

Version: 1.6
Depends: R (≥ 3.0.0)
Imports: AnnotationDbi, igraph, e1071, GOSemSim, GO.db
Enhances: KEGG.db, org.Hs.eg.db, org.Sc.sgd.db, org.Ag.eg.db, org.Pt.eg.db, org.Rn.eg.db, org.Ss.eg.db, org.At.tair.db, org.Bt.eg.db, org.Ce.eg.db, org.Cf.eg.db, org.Dm.eg.db, org.Dr.eg.db, org.EcK12.eg.db, org.EcSakai.eg.db, org.Gg.eg.db, org.Mm.eg.db, org.Mmu.eg.db, org.Pf.plasmo.db, org.Xl.eg.db
Published: 2015-01-29
Author: Yue Deng, Rongjie Shao, Gang Wang and Yuanjun Sun, with contributions from Guangchuang Yu.
Maintainer: Yue Deng <anfdeng at 163.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: ppiPre results

Downloads:

Reference manual: ppiPre.pdf
Package source: ppiPre_1.6.tar.gz
Windows binaries: r-devel: ppiPre_1.6.zip, r-release: ppiPre_1.6.zip, r-oldrel: not available
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: not available