SIBERG: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data
Version 2.0.1

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) .

Getting started

Package details

AuthorPan Tong, Kevin R. Coombes
Date of publication2017-07-13 12:13:17
MaintainerKevin R. Coombes <[email protected]>
LicenseApache License (== 2.0)
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("SIBERG", repos="")

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SIBERG documentation built on July 13, 2017, 3 p.m.