GeoMxWorkflows
Bioc currentGeoMx Digital Spatial Profiler (DSP) data analysis workflows
Release Lineage
Entered 3.14 · Oct 27, 2021
Current · Requires R 4.6
Description
Workflows for use with NanoString Technologies GeoMx Technology. Package provides bioconductor focused workflows for leveraging existing packages (e.g. GeomxTools) to process, QC, and analyze the data.
Call graph
Open call graph →Code intelligence has not been computed for this package yet.
Code
Structure
Lines of code
1,379
Files
252
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
0
Internal functions
0
Testing & CI
Has tests
No
Test-to-code ratio
–
testthat edition
3
CI present
Yes
CI type
["github-actions"]
PR gated
No
Docs
Roxygen coverage
–
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
4.0
System requirements
–
C++ standard
–
License
MIT
License flags
SPDX valid, OSI approved
History
Versions
10
First release
2021-11-05
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
1
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Topics
People
- Maddy Griswold maintainer author
- Prajan Divakar author
- David Henderson author
- Nicole Ortogero author
- Jason Reeves author
- Rona Vitancol author
- Zhi Yang author
- Stephanie Zimmerman author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GeoMxWorkflows")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 v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.