Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

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) .


Reference manual

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install.packages("SIBERG")

2.0.5 by Kevin R. Coombes, 11 days ago


http://silicovore.com/OOMPA/standalone.html


Browse source code at https://github.com/cran/SIBERG


Authors: Pan Tong [aut] , Kevin R. Coombes [aut, cre]


Documentation:   PDF Manual  


Apache License (== 2.0) license


Imports mclust

Suggests edgeR, doParallel


See at CRAN