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:	1.2.3
Depends:	R (≥ 2.10)
Published:	2022-04-13
DOI:	10.32614/CRAN.package.RNentropy
Author:	Federico Zambelli [cre], Giulio Pavesi [aut]
Maintainer:	Federico Zambelli <federico.zambelli at unimi.it>
License:	GPL-3
NeedsCompilation:	no
Citation:	RNentropy citation info
Materials:	README NEWS
In views:	Omics
CRAN checks:	RNentropy results

Documentation:

Reference manual:

RNentropy.pdf

Downloads:

Package source:	RNentropy_1.2.3.tar.gz
Windows binaries:	r-devel: RNentropy_1.2.3.zip, r-release: RNentropy_1.2.3.zip, r-oldrel: RNentropy_1.2.3.zip
macOS binaries:	r-release (arm64): RNentropy_1.2.3.tgz, r-oldrel (arm64): RNentropy_1.2.3.tgz, r-release (x86_64): RNentropy_1.2.3.tgz, r-oldrel (x86_64): RNentropy_1.2.3.tgz
Old sources:	RNentropy archive

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