mumosa
Bioc currentMulti-Modal Single-Cell Analysis Methods
Release Lineage
Entered 3.13 · May 20, 2021
Current · Requires R 4.6
Description
Assorted utilities for multi-modal analyses of single-cell datasets. Includes functions to combine multiple modalities for downstream analysis, perform MNN-based batch correction across multiple modalities, and to compute correlations between assay values for different modalities.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
24 4 exported
Complexity
4.6 avg / 19 max
Call network
24 nodes / 14 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
3,188
Files
29
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
8
Internal functions
20
Testing & CI
Has tests
Yes
Test-to-code ratio
0.52
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
11
First release
2021-05-19
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
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
- 79%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (2)
Bioconductor (2)
People
- Aaron Lun author maintainer
Cite
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Run in R for the authors' preferred citation:
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