netSmooth
Bioc currentNetwork smoothing for scRNAseq
Release Lineage
Entered 3.7 · May 1, 2018
Current · Requires R 4.6
Description
netSmooth is an R package for network smoothing of single cell RNA sequencing data. Using bio networks such as protein-protein interactions as priors for gene co-expression, netsmooth improves cell type identification from noisy, sparse scRNAseq data.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
8 0 exported
Complexity
3.8 avg / 8 max
Call network
8 nodes / 6 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
2,753
Files
58
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
0
Internal functions
8
Testing & CI
Has tests
Yes
Test-to-code ratio
0.14
testthat edition
–
CI present
Yes
CI type
["travis"]
PR gated
No
Docs
Roxygen coverage
–
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
25%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.5
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
17
First release
2018-07-24
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
2
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Topics
Depended on by (1)
Bioconductor (1)
People
- Jonathan Ronen author maintainer
- Altuna Akalin author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("netSmooth")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 v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.