Package: SIBERG
Type: Package
LazyData: true
Date: 2026-09-24
Title: Systematic Identification of Bimodally Expressed Genes Using
        RNAseq Data
Version: 2.0.5
Authors@R: c(person(given = "Pan", family = "Tong", role = "aut"),
	    person(given = c("Kevin", "R."), family = "Coombes",
                   role = c("aut", "cre"), email = "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://silicovore.com/OOMPA/standalone.html
NeedsCompilation: no
Packaged: 2026-09-25 01:46:27 UTC; root
Author: Pan Tong [aut], Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Depends: R (>= 2.10)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-24 21:50:06 UTC
RemoteUrl: https://github.com/cran/SIBERG
RemoteRef: HEAD
RemoteSha: 9d69c04433cf2cb1735ead6b79ec531ebce50197
