scDDboost
Bioc currentA compositional model to assess expression changes from single-cell rna-seq data
Release Lineage
Entered 3.16 · Nov 2, 2022
Current · Requires R 4.6
Description
scDDboost is an R package to analyze changes in the distribution of single-cell expression data between two experimental conditions. Compared to other methods that assess differential expression, scDDboost benefits uniquely from information conveyed by the clustering of cells into cellular subtypes. Through a novel empirical Bayesian formulation it calculates gene-specific posterior probabilities that the marginal expression distribution is the same (or different) between the two conditions. The implementation in scDDboost treats gene-level expression data within each condition as a mixture of negative binomial distributions.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
50 7 exported
Complexity
2.2 avg / 13 max
Call network
50 nodes / 31 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
2,576
Files
62
Compiled share
41.7%
Has compiled src
Yes
Language breakdown
API
Exported functions
7
Internal functions
15
Testing & CI
Has tests
Yes
Test-to-code ratio
0.04
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
16.7%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.2
System requirements
1
C++ standard
C++14
License
GPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
8
First release
2022-11-01
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
- 100%
- Return-value docs
- 100%
- References docs
- 4%
Topics
People
- Xiuyu Ma maintainer author
- Michael A. Newton contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("scDDboost")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.