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SIBERG  

Systematic Identification of Bimodally Expressed Genes Using RNAseq Data
View on CRAN: Click here


Download and install SIBERG package within the R console
Install from CRAN:
install.packages("SIBERG")

Install from Github:
library("remotes")
install_github("cran/SIBERG")

Install by package version:
library("remotes")
install_version("SIBERG", "2.0.4")



Attach the package and use:
library("SIBERG")
Maintained by
Kevin R. Coombes
[Scholar Profile | Author Map]
First Published: 2017-07-11
Latest Update: 2022-05-03
Description:
Provides models to identify bimodally expressed genes from RNAseq data based on the Bimodality Index. SIBERG models theRNAseq data in the finite mixture modeling framework and incorporates mechanismsfor 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>.
How to cite:
Kevin R. Coombes (2017). SIBERG: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data. R package version 2.0.4, https://cran.r-project.org/web/packages/SIBERG. Accessed 21 Apr. 2025.
Previous versions and publish date:
2.0.0 (2017-07-11 19:33), 2.0.1 (2017-07-12 10:21), 2.0.2 (2018-05-18 17:41), 2.0.3 (2022-05-03 08:50)
Other packages that cited SIBERG R package
View SIBERG citation profile
Other R packages that SIBERG depends, imports, suggests or enhances
Complete documentation for SIBERG
Functions, R codes and Examples using the SIBERG R package
Some associated functions: SIBER . fitGP . fitLN . fitNB . fitNL . simDat . 
Some associated R codes: siberRaw2.R .  Full SIBERG package functions and examples
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