CRAN/E | SIBERG

SIBERG

Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

Installation

About

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.

oompa.r-forge.r-project.org/

Key Metrics

Version 2.0.3
R ≥ 2.10
Published 2022-05-03 777 days ago
Needs compilation? no
License Apache License (== 2.0)
CRAN checks SIBERG results

Downloads

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Maintainer

Maintainer

Kevin R. Coombes

Authors

Pan Tong
Kevin R. Coombes

Material

NEWS
Reference manual
Package source

Vignettes

SIBER Vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SIBERG archive

Depends

R ≥ 2.10

Imports

mclust

Suggests

edgeR
doParallel