DSS
Bioc currentDispersion shrinkage for sequencing data
Release Lineage
Entered 2.11 · Oct 3, 2012
Current · Requires R 4.6
Description
DSS is an R library performing differntial analysis for count-based sequencing data. It detectes differentially expressed genes (DEGs) from RNA-seq, and differentially methylated loci or regions (DML/DMRs) from bisulfite sequencing (BS-seq). The core of DSS is a new dispersion shrinkage method for estimating the dispersion parameter from Gamma-Poisson or Beta-Binomial distributions.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
68 12 exported
Complexity
4.6 avg / 76 max
Call network
68 nodes / 72 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
4,811
Files
54
Compiled share
3.2%
Has compiled src
Yes
Language breakdown
API
Exported functions
12
Internal functions
49
Testing
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
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
3.5.0
System requirements
–
C++ standard
–
License
GPL
License flags
not SPDX, not OSI
History
Versions
28
First release
2012-10-01
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
14
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 18includes a package overview page
- Examples that run
- 65%11 run in a plain check · 6 never run
- Exported functions with examples
- 100%
- Documented parameters
- 96%
- Return-value docs
- 83%
- Help pages citing references
- 0%
- The DSS User's Guide HTML
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Datasets
Topics
Depended on by (5)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' entry:
citation("DSS")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/biostatistics/kxs033, 10.1093/nar/gku154, 10.1093/nar/gkv715, 10.1093/bioinformatics/btw026.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.