Predict Protein-Protein Interactions Based on Functional and Topological Similarities
Overview
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.
- Update the description of package and manual of several functions.
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Documentation
- Help pages
- 15 (1 internal)includes a package overview page
- Examples that run
- 38%5 run in a plain check · 8 hold no code
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 54%
- Help pages citing references
- 73%
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People & History
Maintainer since 1.2 (2011)
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- RR 3.5.0 released · 2018-04-23
- archivedRemoved from CRAN2018-04-05check problems were not corrected despite reminders
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.92015-07-21 · diff ↗
- 1.82015-06-24 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 1.72015-02-27 · diff ↗
- 1.62015-01-25 · diff ↗ ·
removed 1 export
pattern:.added 13 exports
AASim, ComputeAllEvidences, FNPre, GOKEGGSims, GOKEGGSimsFromFile, IntelliGOGeneSim, JaccardSim, KEGGSim, RASim, SVMPredict, SVMTrain, TCSSGeneSim, TopologicSims - RR 3.1.0 released · 2014-04-10
- 1.52013-07-27 · diff ↗
- 1.42013-06-29 · diff ↗
- RR 3.0.0 released · 2013-04-03
- RR 2.15.0 released · 2012-03-30
- 1.3
- RR 2.14.0 released · 2011-10-31
Show 2 earlier eventsHide 2 earlier events
- 1.22011-10-16
- RR 2.13.0 released · 2011-04-13
Package metadata
- First published
- 2011-10-16
- Total releases
- 8 / 15 yrs
- License
- GPL-2 OSI · relicensed from Artistic-2.0 in 1.6
- Minimum R
- ≥ 3.1.0
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