attract
Bioc currentMethods to Find the Gene Expression Modules that Represent the Drivers of Kauffman's Attractor Landscape
Release Lineage
Entered 2.7 · Oct 18, 2010
Current · Requires R 4.6
Description
This package contains the functions to find the gene expression modules that represent the drivers of Kauffman's attractor landscape. The modules are the core attractor pathways that discriminate between different cell types of groups of interest. Each pathway has a set of synexpression groups, which show transcriptionally-coordinated changes in gene expression.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
17 7 exported
Complexity
3.5 avg / 18 max
Call network
17 nodes / 8 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
3,828
Files
39
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
7
Internal functions
10
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
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.4.0
System requirements
–
C++ standard
–
License
LGPL (>= 2.0)
License flags
not SPDX, not OSI
History
Versions
32
First release
2010-10-18
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
6
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 24 (6 internal)includes a package overview page
- Examples that run
- 52%12 run in a plain check · 11 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 58%
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| exprs.dat | matrix | 11,044 × 68 | No other package |
| loring.eset | – | – | – |
| samp.info | data.frame | 68 × 2 | No other package |
| subset.loring.eset | – | – | – |
Topics
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("attract")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
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.