RankProd
Bioc currentRank Product method for identifying differentially expressed genes with application in meta-analysis
Release Lineage
Entered 1.6 · May 18, 2005
Current · Requires R 4.6
Description
Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
20 7 exported
Complexity
11.2 avg / 67 max
Call network
20 nodes / 22 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
3,493
Files
40
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
7
Internal functions
3
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
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
3.2.1
System requirements
–
C++ standard
–
License
file LICENSE
License flags
SPDX valid, not OSI
History
Versions
43
First release
2005-05-19
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
5
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
- 83%
Topics
Depended on by (7)
Bioconductor (6)
CRAN (1)
People
Francesco Del Carratore
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("RankProd")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.