Skip to content

ABarray

Bioc current

Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data.

v1.80.0 · software · GPL

Release Lineage

Entered 1.9 · Oct 4, 2006

Current · Requires R 4.6

1.0 In 40 of 49 releases 3.23

Description

Automated pipline to perform gene expression analysis for Applied Biosystems Genome Survey Microarray (AB1700) data format. Functions include data preprocessing, filtering, control probe analysis, statistical analysis in one single function. A GUI interface is also provided. The raw data, processed data, graphics output and statistical results are organized into folders according to the analysis settings used.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

29 28 exported

Complexity

9.6 avg / 60 max

Call network

29 nodes / 27 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

5,289

Files

66

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,913 (55.1%)Docs 1,039 (19.6%)Vignettes 1,337 (25.3%)

API

Exported functions

28

Internal functions

1

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

33.3%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

GPL

License flags

not SPDX, not OSI

History

Versions

40

First release

2006-10-03

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

6

LOC over versions

v1.9: 3,905 LOCv2.0: 3,976 LOCv2.1: 3,985 LOCv2.2: 3,962 LOCv2.3: 3,962 LOCv2.4: 3,962 LOCv2.5: 3,962 LOCv2.6: 3,962 LOCv2.7: 3,952 LOCv2.8: 3,952 LOCv2.9: 3,952 LOCv2.10: 3,952 LOCv2.11: 3,952 LOCv2.12: 3,952 LOCv2.13: 3,952 LOCv2.14: 5,289 LOCv3.0: 5,289 LOCv3.1: 5,289 LOCv3.2: 5,289 LOCv3.3: 5,289 LOCv3.4: 5,289 LOCv3.5: 5,289 LOCv3.6: 5,289 LOCv3.7: 5,289 LOCv3.8: 5,289 LOCv3.9: 5,289 LOCv3.10: 5,289 LOCv3.11: 5,289 LOCv3.12: 5,289 LOCv3.13: 5,289 LOCv3.14: 5,289 LOCv3.15: 5,289 LOCv3.16: 5,289 LOCv3.17: 5,289 LOCv3.18: 5,289 LOCv3.19: 5,289 LOCv3.20: 5,289 LOCv3.21: 5,289 LOCv3.22: 5,289 LOCv3.23: 5,289 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
21%

Topics

People

Yongming Andrew Sun

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ABarray")

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 ABarray version 1.80.0 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy