dominoSignal
Bioc currentCell Communication Analysis for Single Cell RNA Sequencing
Release Lineage
Entered 3.20 · Oct 30, 2024
Current · Requires R 4.6
Description
dominoSignal is a package developed to analyze cell signaling through ligand - receptor - transcription factor networks in scRNAseq data. It takes as input information transcriptomic data, requiring counts, z-scored counts, and cluster labels, as well as information on transcription factor activation (such as from SCENIC) and a database of ligand and receptor pairings (such as from CellPhoneDB). This package creates an object storing ligand - receptor - transcription factor linkages by cluster and provides several methods for exploring, summarizing, and visualizing the analysis.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
45 33 exported
Complexity
8.2 avg / 42 max
Call network
45 nodes / 19 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
6,940
Files
105
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
33
Internal functions
12
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.16
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
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 | file LICENSE
License flags
SPDX valid, not OSI
History
Versions
4
First release
2024-10-29
Latest release
2026-04-29
Avg cadence
168 days
Cold removal rate
–
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
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Kavita Krishnan author maintainer
- Christopher Cherry author
- Jennifer Elisseeff contributor
- Elana Fertig contributor
- Dmitrijs Lvovs author
- Jacob T Mitchell author
- Sushma Nagaraj author