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SIBER: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data
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
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Package details |
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| Author | Pan Tong, Kevin R Coombes |
| Maintainer | Pan Tong <nickytong@gmail.com> |
| License | Apache License (== 2.0) |
| Version | 1.0.0 |
| URL | http://oompa.r-forge.r-project.org/ |
| Package repository | View on R-Forge |
| Installation |
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