HTSFilter
Bioc currentFilter replicated high-throughput transcriptome sequencing data
Release Lineage
Entered 2.12 · Apr 4, 2013
Current · Requires R 4.6
Description
This package implements a filtering procedure for replicated transcriptome sequencing data based on a global Jaccard similarity index in order to identify genes with low, constant levels of expression across one or more experimental conditions.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
7 1 exported
Complexity
7.9 avg / 31 max
Call network
7 nodes / 7 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
2,894
Files
24
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
3
Internal functions
4
Testing & CI
Has tests
Yes
Test-to-code ratio
0.01
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
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.0.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
27
First release
2013-08-09
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
8
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
- 100%
Topics
Depended on by (3)
Bioconductor (1)
CRAN (2)
People
- Andrea Rau maintainer author
- Gilles Celeux contributor
- Melina Gallopin contributor
- Florence Jaffrézic contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("HTSFilter")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 v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.