RNentropy: Entropy Based Method for the Detection of Significant Variation in Gene Expression Data

An implementation of a method based on information theory devised for the identification of genes showing a significant variation of expression across multiple conditions. Given expression estimates from any number of RNA-Seq samples and conditions it identifies genes or transcripts with a significant variation of expression across all the conditions studied, together with the samples in which they are over- or under-expressed. Zambelli et al. (2018) <doi:10.1093/nar/gky055>.

Version: 1.2.2
Depends: R (≥ 2.10)
Published: 2018-06-01
Author: Federico Zambelli ORCID iD [cre], Giulio Pavesi ORCID iD [aut]
Maintainer: Federico Zambelli <federico.zambelli at unimi.it>
License: GPL-3
NeedsCompilation: no
Citation: RNentropy citation info
CRAN checks: RNentropy results


Reference manual: RNentropy.pdf
Package source: RNentropy_1.2.2.tar.gz
Windows binaries: r-devel: RNentropy_1.2.2.zip, r-release: RNentropy_1.2.2.zip, r-oldrel: RNentropy_1.2.2.zip
OS X binaries: r-release: RNentropy_1.2.2.tgz, r-oldrel: RNentropy_1.2.2.tgz
Old sources: RNentropy archive


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