cellmig
Bioc currentUncertainty-aware quantitative analysis of high-throughput live cell migration data
Release Lineage
Entered 3.22 · Oct 30, 2025
Current · Requires R 4.6
Description
High-throughput cell imaging facilitates the analysis of cell migration across many wells treated under different biological conditions. These workflows generate considerable technical noise and biological variability, and therefore technical and biological replicates are necessary, leading to large, hierarchically structured datasets, i.e., cells are nested within technical replicates that are nested within biological replicates. Current statistical analyses of such data usually ignore the hierarchical structure of the data and fail to explicitly quantify uncertainty arising from technical or biological variability. To address this gap, we present cellmig, an R package implementing Bayesian hierarchical models for migration analysis. cellmig quantifies condition- specific velocity changes (e.g., drug effects) while modeling nested data structures and technical artifacts. It further enables synthetic data generation for experimental design optimization.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
48 9 exported
Complexity
2.4 avg / 8 max
Call network
48 nodes / 85 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
3,723
Files
45
Compiled share
0.7%
Has compiled src
Yes
Language breakdown
API
Exported functions
9
Internal functions
38
Recent export changes
Testing
Has tests
Yes
Test-to-code ratio
0.88
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
26.7%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.5.0
System requirements
1 externalGNU make
C++ standard
C++17
License
GPL-3 + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
2
First release
2025-10-29
Latest release
2026-04-28
Avg cadence
181 days
Cold removal rate
100%
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 11includes a package overview page
- Examples that run
- 100%11 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 78%
- Return-value docs
- 100%
- Help pages citing references
- 9%
Repository practices
Checks run against github.com/snaketron/cellmig on 2026-10-21.
No development-tooling practices detected in the upstream repository.
Datasets
Topics
People
- Simo Kitanovski author maintainer
Cite
Cite this package
Run in R for the authors' preferred citation:
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Cite the R Observatory
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