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 to calculate GO semantic similarities are re-used from R package GOSemSim authored by Guangchuang Yu.
| Version: |
1.9 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
AnnotationDbi, igraph, e1071, GOSemSim, GO.db, stats, utils |
| 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: |
2015-07-28 |
| Author: |
Yue Deng, Rongjie Shao, Gang Wang and Yuanjun Sun |
| Maintainer: |
Yue Deng <anfdeng at 163.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
ppiPre results |