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 |
| 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 |
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