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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>.

Versions across snapshots

VersionRepositoryFileSize
1.2.3 rolling linux/jammy R-4.5 RNentropy_1.2.3.tar.gz 1.1 MiB
1.2.3 rolling linux/noble R-4.5 RNentropy_1.2.3.tar.gz 1.1 MiB
1.2.3 rolling source/ R- RNentropy_1.2.3.tar.gz 1.1 MiB
1.2.3 latest linux/jammy R-4.5 RNentropy_1.2.3.tar.gz 1.1 MiB
1.2.3 latest linux/noble R-4.5 RNentropy_1.2.3.tar.gz 1.1 MiB
1.2.3 latest source/ R- RNentropy_1.2.3.tar.gz 1.1 MiB
1.2.3 2026-04-26 source/ R- RNentropy_1.2.3.tar.gz 1.1 MiB
1.2.3 2026-04-23 source/ R- RNentropy_1.2.3.tar.gz 1.1 MiB
1.2.3 2026-04-09 windows/windows R-4.5 RNentropy_1.2.3.zip 1.1 MiB
1.2.3 2025-04-20 source/ R- RNentropy_1.2.3.tar.gz 1.1 MiB