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SIBERG

2.0.4

Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

0packages depend
2.5Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Kevin R. CoombesFirst published 2017-07-115 releasesCRAN page ↗

Provides models to identify bimodally expressed genes from RNAseq data based on the Bimodality Index. SIBERG models the RNAseq data in the finite mixture modeling framework and incorporates mechanisms for dealing with RNAseq normalization. Three types of mixture models are implemented, namely, the mixture of log normal, negative binomial, or generalized Poisson distribution. See Tong et al. (2013) doi:10.1093/bioinformatics/bts713.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
1
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
83%

Downloads

2.5K
CRAN downloads in the past year
Rank #17,415 · ~7/day · ~206/mo
Daily download trend is not available in this view yet.
17830 days
63790 days
2.5K1 year
Compare downloads with other packages →
Also on103 r2u25 autocran26 c2d4u

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (1)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author
Listed in earlier versions (1)
no longer listed · 2.0.4
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 2.0.4Latest
    2025-04-08 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 2.0.3
    2022-05-03 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 2.0.2
    2018-05-18 · diff ↗
  • unarchivedReturned to CRAN
    2018-05-18
  • R
    R 3.5.0 released · 2018-04-23
  • archivedRemoved from CRAN
    2018-02-20
    check problems were not corrected despite reminders Unconditional use of Suggests package(s) from BioC
  • 2.0.1
    2017-07-12 · diff ↗
  • 2.0.0
    2017-07-11
Show 1 earlier events
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-07-11
Total releases
5 / 9 yrs
License
Apache License (== 2.0)
Minimum R
≥ 2.10
Bundled data
11 KB / 1 file
Download size
152 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SIBERG")
Coombes, K. R., & Tong, P. (2025). SIBERG: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data (Version 2.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.SIBERG

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SIBERG version 2.0.4 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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