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healthyControlsPresenceChecker

Bioc current

Dowloads A Gene Expression Dataset From GEO And Checks If It Contains Data Of Healthy Controls Or Not

v1.16.0 · experiment · GPL-3

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

A function that reads in the GEO accession code of a gene expression dataset, retrieves its data from GEO, and checks if data of healthy controls are present in the dataset. It returns true if healthy controls data are found, and false otherwise. GEO: Gene Expression Omnibus. ID: identifier code. The GEO datasets are downloaded from the URL <https://ftp.ncbi.nlm.nih.gov/geo/series/>.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

1 1 exported

Complexity

25 avg / 25 max

Call network

1 nodes / 0 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

250

Files

13

Compiled share

0%

Has compiled src

No

Language breakdown

R 131 (52.4%)Tests 1 (0.4%)Docs 34 (13.6%)Vignettes 84 (33.6%)

API

Exported functions

1

Internal functions

0

Testing & CI

Has tests

Yes

Test-to-code ratio

0.01

testthat edition

CI present

No

CI type

[]

PR gated

No

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

4.0.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-04-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.15: 250 LOCv3.16: 250 LOCv3.17: 250 LOCv3.18: 250 LOCv3.19: 250 LOCv3.20: 250 LOCv3.21: 250 LOCv3.22: 250 LOCv3.23: 250 LOC

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

Documentation

Documentation
READMEYes · 174 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

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