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SurfR

Bioc current

Surface Protein Prediction and Identification

v1.8.0 · Package record · software · GPL-3 + file LICENSE

Release Lineage

Entered 3.19 · May 1, 2024

Current · Requires R 4.6

1.0 In 5 of 49 releases 3.23

Description

Identify Surface Protein coding genes from a list of candidates. Systematically download data from GEO and TCGA or use your own data. Perform DGE on bulk RNAseq data. Perform Meta-analysis. Descriptive enrichment analysis and plots.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

22 18 exported

Complexity

5.6 avg / 14 max

Call network

22 nodes / 13 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

3,795

Files

52

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,727 (45.5%)Tests 174 (4.6%)Docs 1,064 (28%)Vignettes 830 (21.9%)

API

Exported functions

17

Internal functions

4

Recent export changes

v3.20+3 enrichr, listEnrichrDbs, setEnrichrSite
v3.19+14 Annotate_SPID, DGE, DownloadArchS4 +11 more

Testing

Has tests

Yes

Test-to-code ratio

0.10

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

3

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.4.0

System requirements

–

C++ standard

–

License

GPL-3 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

5

First release

2024-04-30

Latest release

2026-04-28

Avg cadence

188 days

Cold removal rate

–

Dep drift

4

LOC over versions

v3.19: 3,441 LOCv3.20: 3,793 LOCv3.21: 3,795 LOCv3.22: 3,795 LOCv3.23: 3,795 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 · 539 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
25 (3 internal)
Examples that run
12%2 run in a plain check · 15 never run
Exported functions with examples
94%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

Checks run against github.com/auroramaurizio/surfr on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 4
NameClassSizeAlso in
countDatamatrix2,500 × 4No other package
enrichedListlist2 elementsNo other package
ind_deglist2 elementsNo other package
metadatadata.frame4 × 3No other package

All of SurfR's data objects

Topics

Maintainer
Aurora Maurizio

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("SurfR")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioadv/vbae201.

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 SurfR version 1.8.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

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.

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