SIBERG2.0.3 package

Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

fitGP

Fit Generalized Poisson Mixture Model

fitLN

Fit Log Normal Mixture Model

fitNB

Fit Negative Binomial Mixture Model

fitNL

Fit Negative Binomial Mixture Model

SIBER

Fit Mixture Model on The RNAseq Data and Calculates Bimodality Index

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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>.