Deciphering Biological Networks with Patterned Heterogeneous Measurements
Overview
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.
- Updated maintainer email.
- Added unit tests.
- Added package doi.
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 46 (1 internal)includes a package overview page
- Examples that run
- 88%37 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 7%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 1,799
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Releases over time
Issues over time
5 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/fbertran/patterns on 2026-10-18.
GitHub Pages site last deployed 2025-09-15
pkgdown site last built 2025-09-15
Dependencies
Installing Patterns adds 99 packages (56 with compiled code, 96 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 4 more not on CRAN are not measured.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.7Latest
- 1.62025-07-02 · diff ↗
- RR 4.5.0 released · 2025-04-11
- unarchivedReturned to CRAN2024-05-06
- 1.52024-05-06 · diff ↗
- archivedRemoved from CRAN2024-05-04issues were not corrected in time
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.4
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.32021-03-21 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.22019-11-13 · diff ↗
- 1.12019-08-24 · diff ↗
Show 2 earlier eventsHide 2 earlier events
- 1.02019-06-07
- RR 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
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("Patterns")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.