baySeq
Bioc currentEmpirical Bayesian analysis of patterns of differential expression in count data
Release Lineage
Entered 2.5 · Oct 28, 2009
Current · Requires R 4.6
Description
This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
48 0 exported
Complexity
8.7 avg / 94 max
Call network
48 nodes / 18 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
7,487
Files
67
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
14
Internal functions
26
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
–
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
9
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.3.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
34
First release
2009-10-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
9
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Topics
Depended on by (6)
Bioconductor (6)
People
- Samuel Granjeaud maintainer
- Thomas J. Hardcastle author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("baySeq")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.