SurfR
Bioc currentSurface Protein Prediction and Identification
Release Lineage
Entered 3.19 · May 1, 2024
Current · Requires R 4.6
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.
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.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
3,797
Files
55
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
17
Internal functions
4
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.10
testthat edition
3
CI present
No
CI type
[]
PR gated
No
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
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 18%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Aurora Maurizio author maintainer
- Anna Sofia Tascini author contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("SurfR")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.
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.