Skip to content
This package was removed from CRAN on 2018-04-05. Its history is shown below.
Reason: check problems were not corrected despite reminders
Details below reflect version 1.9, its last release before removal.

Predict Protein-Protein Interactions Based on Functional and Topological Similarities

0packages depend
–downloads / year
–test coverage
–flavors OK

Overview

About
Maintained by Yue DengCRAN page ↗

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.

Changes in 1.9
  • Update the description of package and manual of several functions.

From NEWS in the release

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

Documentation

In release 1.9
READMENoVignettesNoNEWSYes · 100% structured · mentions 1.9Citation fileNoWebsitenot declared in DESCRIPTION
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%

Downloads

ppiPre
Daily download trend is not available in this view yet.

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.1.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Contributor
Contributor · added in 1.5
Contributor · added in 1.5
Contributor · added in 1.5

Maintainer since 1.2 (2011)

Listed in earlier versions (1)
with contributions from Guangchuang Yu.
no longer listed · 1.6
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 3.5.0 released · 2018-04-23
  • archivedRemoved from CRAN
    2018-04-05
    check problems were not corrected despite reminders
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.9
    record
    2015-07-21 · diff ↗
  • 1.8
    record
    2015-06-24 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.7
    record
    2015-02-27 · diff ↗
  • 1.6
    record
    2015-01-25 · diff ↗ ·
    removed 1 export
    pattern:.
    added 13 exports
    AASim, ComputeAllEvidences, FNPre, GOKEGGSims, GOKEGGSimsFromFile, IntelliGOGeneSim, JaccardSim, KEGGSim, RASim, SVMPredict, SVMTrain, TCSSGeneSim, TopologicSims
  • R
    R 3.1.0 released · 2014-04-10
  • 1.5
    record
    2013-07-27 · diff ↗
  • 1.4
    record
    2013-06-29 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • R
    R 2.15.0 released · 2012-03-30
  • 1.3
    record
    2012-03-19 · diff ↗ ·
    added 1 export
    pattern:.
  • R
    R 2.14.0 released · 2011-10-31
Show 2 earlier eventsHide 2 earlier events
  • 1.2
    record
    2011-10-16
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ppiPre")
Deng, Y., Shao, R., Wang, G., & Sun, Y. (n.d.). ppiPre: Predict Protein-Protein Interactions Based on Functional and Topological Similarities (Version 1.9) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=ppiPre

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ppiPre version 1.9 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy