scFeatures
Bioc currentscFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction
Release Lineage
Entered 3.17 · Apr 26, 2023
Current · Requires R 4.6
Description
scFeatures constructs multi-view representations of single-cell and spatial data. scFeatures is a tool that generates multi-view representations of single-cell and spatial data through the construction of a total of 17 feature types. These features can then be used for a variety of analyses using other software in Biocondutor.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
63 21 exported
Complexity
3.7 avg / 20 max
Call network
63 nodes / 113 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
5,353
Files
416
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
21
Internal functions
42
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
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.2.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
7
First release
2023-04-25
Latest release
2026-04-28
Avg cadence
175 days
Cold removal rate
100%
Dep drift
3
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 95%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Yue Cao author maintainer
- Yingxin Lin author
- Ellis Patrick author
- Jean Yee Hwa Yang author
- Pengyi Yang author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("scFeatures")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.