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SIBERG

2.0.5Package record

Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

0packages depend
2.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 1.7 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.0.5
READMENoVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileNoWebsiteYes
Help pages
6
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
83%
Vignettes (1)

Downloads

2.8K
CRAN downloads in the past year
Rank #10,970 · ~8/day · ~234/mo
Daily download trend is not available in this view yet.
48330 days
95490 days
2.8K1 year
Compare downloads with other packages →
Also on89 r2u4 autocran46 c2d4u

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing SIBERG adds 1 package (1 with compiled code, 2.7 MB of source tarballs). Heaviest: mclust 2.7 MB.

Depends (1)
R >= 2.10
Imports (1)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 2.0.0 (2017)
Author
Listed in earlier versions (1)
Coombes
no longer listed · 2.0.4 to 2.0.5
Releases (6)

Pick two releases to compare their code metrics.

  • 2.0.5Latest
    record
    2026-09-24 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 2.0.4
    record
    2025-04-08 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 2.0.3
    record
    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
  • unarchivedReturned to CRAN
    2018-05-18
  • 2.0.2
    record
    2018-05-18 · diff ↗
  • 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
    record
    2017-07-12 · diff ↗
Show 2 earlier eventsHide 2 earlier events
  • 2.0.0
    record
    2017-07-11
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-07-11
Total releases
6 / 9 yrs
License
Apache License (== 2.0)
Minimum R
≥ 2.10
Bundled data
11 KB / 1 file
Download size
151 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SIBERG")
Coombes, K. R., & Tong, P. (2026). SIBERG: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data (Version 2.0.5) [Computer software]. https://doi.org/10.32614/CRAN.package.SIBERG

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 2.0.5 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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