les
Bioc currentIdentifying Differential Effects in Tiling Microarray Data
Release Lineage
Entered 2.7 · Oct 18, 2010
Current · Requires R 4.6
Description
The 'les' package estimates Loci of Enhanced Significance (LES) in tiling microarray data. These are regions of regulation such as found in differential transcription, CHiP-chip, or DNA modification analysis. The package provides a universal framework suitable for identifying differential effects in tiling microarray data sets, and is independent of the underlying statistics at the level of single probes.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
29 4 exported
Complexity
2.1 avg / 9 max
Call network
29 nodes / 13 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
4,554
Files
30
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
4
Internal functions
25
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
2.13.2
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
32
First release
2010-10-18
Latest release
2026-04-28
Avg cadence
183 days
Cold removal rate
100%
Dep drift
1
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 91%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 29%
Topics
Depended on by (1)
Bioconductor (1)
People
Julian Gehring
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("les")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.