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SIBERG (version 2.0.3)

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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Version

Install

install.packages('SIBERG')

Monthly Downloads

144

Version

2.0.3

License

Apache License (== 2.0)

Maintainer

Kevin Coombes

Last Published

May 3rd, 2022

Functions in SIBERG (2.0.3)

fitNL

Fit Negative Binomial Mixture Model
simDat

Simulated Data From 2-component Mixture Models
fitGP

Fit Generalized Poisson Mixture Model
SIBER

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

Fit Log Normal Mixture Model
fitNB

Fit Negative Binomial Mixture Model