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Package SIBERG
Type Package
LazyData true
Date 2022-05-02
Title Systematic Identification of Bimodally Expressed Genes Using RNAseq Data
Version 2.0.3
Author Pan Tong, Kevin R. Coombes
Maintainer Kevin R. Coombes <krc@silicovore.com>
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) <doi:10.1093/bioinformatics/bts713>.
License Apache License (== 2.0)
Imports mclust
Suggests edgeR, doParallel
URL http://oompa.r-forge.r-project.org/
NeedsCompilation no
Packaged 2022-07-20 18:07:44 UTC; KRC
Depends R (>= 2.10)
Built R 4.2.1; ; 2022-07-20 18:08:03 UTC; windows
User Manualsiberg-manual.pdf
R CHECK00check.log
Vignettes SIBER.pdf