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preciseTADhub

Bioc current

Pre-trained random forest models obtained using preciseTAD

v1.20.0 · experiment · 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

An experimentdata package to supplement the preciseTAD package containing pre-trained models and the variable importances of each genomic annotation used to build the model parsed into list objects and available in ExperimentHub. In total, preciseTADhub provides access to n=84 random forest classification models optimized to predict TAD/chromatin loop boundary regions and stored as .RDS files. The value, n, comes from the fact that we considered l=2 cell lines {GM12878, K562}, g=2 ground truth boundaries {Arrowhead, Peakachu}, and c=21 autosomal chromosomes {CHR1, CHR2, ..., CHR22} (omitting CHR9). Furthermore, each object is itself a two-item list containing: (1) the model object, and (2) the variable importances for CTCF, RAD21, SMC3, and ZNF143 used to predict boundary regions. Each model is trained via a "holdout" strategy, in which data from chromosomes {CHR1, CHR2, ..., CHRi-1, CHRi+1, ..., CHR22} were used to build the model and the ith chromosome was reserved for testing. See https://doi.org/10.1101/2020.09.03.282186 for more detail on the model building strategy.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

1 1 exported

Complexity

4 avg / 4 max

Call network

1 nodes / 0 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

332

Files

16

Compiled share

0%

Has compiled src

No

Language breakdown

R 64 (19.3%)Docs 79 (23.8%)Vignettes 189 (56.9%)

API

Exported functions

1

Internal functions

0

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

0%

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: 541 LOCv3.14: 332 LOCv3.15: 332 LOCv3.16: 332 LOCv3.17: 332 LOCv3.18: 332 LOCv3.19: 332 LOCv3.20: 332 LOCv3.21: 332 LOCv3.22: 332 LOCv3.23: 332 LOC

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

Documentation

Documentation
READMEYes · 40 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
50%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("preciseTADhub")
Dozmorov, M., & Stilianoudakis, S. (2026). preciseTADhub: Pre-trained random forest models obtained using preciseTAD (Version 1.20.0) [Computer software]. https://bioconductor.org/packages/preciseTADhub

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 preciseTADhub version 1.20.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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