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target

Bioc current

Predict Combined Function of Transcription Factors

v1.26.0 · Package record · software · GPL-3

Release Lineage

Entered 3.10 · Oct 30, 2019

Current · Requires R 4.6

1.0 In 14 of 49 releases 3.23

Description

Implement the BETA algorithm for infering direct target genes from DNA-binding and perturbation expression data Wang et al. (2013) <doi: 10.1038/nprot.2013.150>. Extend the algorithm to predict the combined function of two DNA-binding elements from comprable binding and expression data.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

10 10 exported

Complexity

4.2 avg / 8 max

Call network

10 nodes / 8 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

1,719

Files

42

Compiled share

0%

Has compiled src

No

Language breakdown

R 652 (37.9%)Tests 156 (9.1%)Docs 474 (27.6%)Vignettes 437 (25.4%)

API

Exported functions

10

Internal functions

0

Testing

Has tests

Yes

Test-to-code ratio

0.24

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

3.6

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

14

First release

2019-10-29

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.10: 1,719 LOCv3.11: 1,719 LOCv3.12: 1,719 LOCv3.13: 1,719 LOCv3.14: 1,719 LOCv3.15: 1,719 LOCv3.16: 1,719 LOCv3.17: 1,719 LOCv3.18: 1,719 LOCv3.19: 1,719 LOCv3.20: 1,719 LOCv3.21: 1,719 LOCv3.22: 1,719 LOCv3.23: 1,719 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 · 72 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
15includes a package overview page
Examples that run
100%13 run in a plain check
Exported functions with examples
90%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/mahshaaban/target on 2026-10-18.

Continuous integration (2)
Travis CI (config file)AppVeyor
Governance and community (1)
Contributing guide
Coverage (1)
Coverage reporting (Codecov)
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 5
NameClassSizeAlso in
AR_diff_exprdata.frame34,859 × 7No other package
real_peaks–––
real_transcripts–––
sim_peaks–––
sim_transcripts–––

All of target's data objects

Topics

Maintainer
Mahmoud Ahmed

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("target")
Ahmed, M. (2026). target: Predict Combined Function of Transcription Factors (Version 1.26.0) [Computer software]. https://bioconductor.org/packages/target

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 target version 1.26.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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