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PrInCE

Bioc current

Predicting Interactomes from Co-Elution

v1.28.0 · Package record · software · GPL-3 + file LICENSE

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

PrInCE (Predicting Interactomes from Co-Elution) uses a naive Bayes classifier trained on dataset-derived features to recover protein-protein interactions from co-elution chromatogram profiles. This package contains the R implementation of PrInCE.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

33 29 exported

Complexity

4.7 avg / 21 max

Call network

33 nodes / 26 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

5,035

Files

85

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,426 (48.2%)Docs 1,671 (33.2%)Vignettes 938 (18.6%)

API

Exported functions

29

Internal functions

4

Recent export changes

v3.9+28 PrInCE, adjacency_matrix_from_data_frame, adjacency_matrix_from_list +25 more

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

84.2%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6.0

System requirements

–

C++ standard

–

License

GPL-3 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

15

First release

2019-09-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.9: 4,708 LOCv3.10: 4,708 LOCv3.11: 4,708 LOCv3.12: 4,708 LOCv3.13: 5,035 LOCv3.14: 5,035 LOCv3.15: 5,035 LOCv3.16: 5,035 LOCv3.17: 5,035 LOCv3.18: 5,035 LOCv3.19: 5,035 LOCv3.20: 5,035 LOCv3.21: 5,035 LOCv3.22: 5,035 LOCv3.23: 5,035 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 117 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
35
Examples that run
100%23 run in a plain check
Exported functions with examples
79%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
3% with a bibliography file

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/fosterlab/prince on 2026-10-21.

Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
lintr
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 5
NameClassSizeAlso in
gold_standardlist467 elementsNo other package
kristensenmatrix1,875 × 48No other package
kristensen_gaussianslist1,117 elementsNo other package
scottmatrix1,560 × 55No other package
scott_gaussianslist970 elementsNo other package

All of PrInCE's data objects

Topics

Maintainer
Michael Skinnider

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PrInCE")
Skinnider, M., Foster, L., Kristensen, A., Scott, N., & Stacey, R. G. (2026). PrInCE: Predicting Interactomes from Co-Elution (Version 1.28.0) [Computer software]. https://bioconductor.org/packages/PrInCE

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 PrInCE version 1.28.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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