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wppi

Bioc current

Weighting protein-protein interactions

v1.19.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.13 · May 20, 2021

Current · Requires R 4.6

1.0 In 11 of 49 releases 3.23

Description

Protein-protein interaction data is essential for omics data analysis and modeling. Database knowledge is general, not specific for cell type, physiological condition or any other context determining which connections are functional and contribute to the signaling. Functional annotations such as Gene Ontology and Human Phenotype Ontology might help to evaluate the relevance of interactions. This package predicts functional relevance of protein-protein interactions based on functional annotations such as Human Protein Ontology and Gene Ontology, and prioritizes genes based on network topology, functional scores and a path search algorithm.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

20 16 exported

Complexity

2 avg / 6 max

Call network

20 nodes / 19 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

2,708

Files

34

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,281 (47.3%)Docs 828 (30.6%)Vignettes 599 (22.1%)

API

Exported functions

16

Internal functions

4

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

7.1%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

11

First release

2021-05-19

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.13: 2,704 LOCv3.14: 2,706 LOCv3.15: 2,706 LOCv3.16: 2,708 LOCv3.17: 2,708 LOCv3.18: 2,708 LOCv3.19: 2,708 LOCv3.20: 2,708 LOCv3.21: 2,708 LOCv3.22: 2,708 LOCv3.23: 2,708 LOC

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

Documentation

Documentation
READMEYes · 332 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

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