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 |
Linking:
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