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Patterns

1.7

Deciphering Biological Networks with Patterned Heterogeneous Measurements

0packages depend
5.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Frederic BertrandFirst published 2019-06-078 releasesCRAN page ↗GitHub ↗

A modeling tool dedicated to biological network modeling (Bertrand and others 2020, doi:10.1093/bioinformatics/btaa855). It allows for single or joint modeling of, for instance, genes and proteins. It starts with the selection of the actors that will be the used in the reverse engineering upcoming step. An actor can be included in that selection based on its differential measurement (for instance gene expression or protein abundance) or on its time course profile. Wrappers for actors clustering functions and cluster analysis are provided. It also allows reverse engineering of biological networks taking into account the observed time course patterns of the actors. Many inference functions are provided and dedicated to get specific features for the inferred network such as sparsity, robust links, high confidence links or stable through resampling links. Some simulation and prediction tools are also available for cascade networks (Jung and others 2014, doi:10.1093/bioinformatics/btt705). Example of use with microarray or RNA-Seq data are provided.

Install

Health

CRAN checks
13OK
Slowest check: 5.7 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.03
not tracked
Coverage
100%
Documentation · exports
19
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 2,038 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
90%
Documented parameters
100%
Return-value docs
100%
References docs
7%

Downloads

5.9K
CRAN downloads in the past year
Rank #7,156 · ~16/day · ~496/mo
Daily download trend is not available in this view yet.
15230 days
1.3K90 days
5.9K1 year
Compare downloads with other packages →
Also on133 r2u19 c2d4u

Repository

Repository
4Stars
0Forks
0Open issues
0Open PRs
5Releases
112Commits
4Contributors
112 commits · Last activity 2025-09-15

Stars over time

2019-08-15 · 32026-07-07 · 4

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fbertran/patterns on 2026-08-03.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
27 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Maintainer, Author
Authors (2)
Maintainer, Author
Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.7Latest
    2025-09-15 · current release · diff ↗
  • 1.6
    2025-07-02 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.5
    2024-05-06 · diff ↗
  • unarchivedReturned to CRAN
    2024-05-06
  • archivedRemoved from CRAN
    2024-05-04
    issues were not corrected in time
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.4
    2022-12-01 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.3
    2021-03-21 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.2
    2019-11-13 · diff ↗
  • 1.1
    2019-08-24 · diff ↗
Show 2 earlier events
  • 1.0
    2019-06-07
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-06-07
Total releases
8 / 7 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
616 KB / 12 files
Download size
1.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("Patterns")

CRAN DOI

https://doi.org/10.32614/CRAN.package.Patterns

BibTeX, derived from DESCRIPTION

@Manual{Patterns,
  title  = {Patterns: Deciphering Biological Networks with Patterned Heterogeneous
Measurements},
  author = {Bertrand, Frederic and Maumy-Bertrand, Myriam},
  year   = {2025},
  note   = {R package version 1.7},
  doi    = {10.32614/CRAN.package.Patterns},
  url    = {https://CRAN.R-project.org/package=Patterns}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryPatterns,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {Patterns} version 1.7},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/Patterns},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Patterns version 1.7 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/Patterns

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for Patterns version 1.7
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/Patterns
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/Patterns.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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