Binary package “r-bioc-edger” in ubuntu noble
Empirical analysis of digital gene expression data in R
Bioconductor package for differential expression analysis of whole
transcriptome sequencing (RNA-seq) and digital gene expression
profiles with biological replication. It uses empirical Bayes
estimation and exact tests based on the negative binomial
distribution. It is also useful for differential signal analysis with
other types of genome-scale count data.
Source package
Published versions
- r-bioc-edger 3.42.4+dfsg-1 in amd64 (Release)
- r-bioc-edger 4.0.16+dfsg-1build1 in amd64 (Proposed)
- r-bioc-edger 4.0.16+dfsg-1build1 in amd64 (Release)
- r-bioc-edger 3.42.4+dfsg-1 in arm64 (Release)
- r-bioc-edger 4.0.16+dfsg-1build1 in arm64 (Proposed)
- r-bioc-edger 4.0.16+dfsg-1build1 in arm64 (Release)
- r-bioc-edger 3.42.4+dfsg-1 in armhf (Release)
- r-bioc-edger 4.0.16+dfsg-1build1 in armhf (Proposed)
- r-bioc-edger 4.0.16+dfsg-1build1 in armhf (Release)
- r-bioc-edger 3.42.4+dfsg-1 in ppc64el (Release)
- r-bioc-edger 4.0.16+dfsg-1build1 in ppc64el (Proposed)
- r-bioc-edger 4.0.16+dfsg-1build1 in ppc64el (Release)
- r-bioc-edger 3.42.4+dfsg-1 in riscv64 (Release)
- r-bioc-edger 4.0.16+dfsg-1build1 in riscv64 (Proposed)
- r-bioc-edger 4.0.16+dfsg-1build1 in riscv64 (Release)
- r-bioc-edger 3.42.4+dfsg-1 in s390x (Release)
- r-bioc-edger 4.0.16+dfsg-1build1 in s390x (Proposed)
- r-bioc-edger 4.0.16+dfsg-1build1 in s390x (Release)