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SIBERG (version 2.0.4)

Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

Description

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) .

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Install

install.packages('SIBERG')

Monthly Downloads

158

Version

2.0.4

License

Apache License (== 2.0)

Maintainer

Kevin Coombes

Last Published

April 8th, 2025

Functions in SIBERG (2.0.4)

SIBER

Fit Mixture Model on The RNAseq Data and Calculates Bimodality Index
fitGP

Fit Generalized Poisson Mixture Model
simDat

Simulated Data From 2-component Mixture Models
fitNL

Fit Negative Binomial Mixture Model
fitNB

Fit Negative Binomial Mixture Model
fitLN

Fit Log Normal Mixture Model