SIBER: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data
Version 1.0.0

SIBER(Systematic Identification of Bimodally Expressed genes using RNAseq data) effectively identifies bimodally expressed genes from RNAseq data based on Bimodality Index. SIBER 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.

Getting started

Package details

AuthorPan Tong, Kevin R Coombes
Date of publication2015-05-26 18:32:12
MaintainerPan Tong <nickytong@gmail.com>
LicenseApache License (== 2.0)
Version1.0.0
URL http://oompa.r-forge.r-project.org/
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("SIBER", repos="http://R-Forge.R-project.org")

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SIBER documentation built on May 31, 2017, 3:13 a.m.