Package: RBM 1.39.0
Dongmei Li
RBM: RBM: a R package for microarray and RNA-Seq data analysis
Use A Resampling-Based Empirical Bayes Approach to Assess Differential Expression in Two-Color Microarrays and RNA-Seq data sets.
Authors:
RBM_1.39.0.tar.gz
RBM_1.39.0.zip(r-4.5)RBM_1.39.0.zip(r-4.4)RBM_1.39.0.zip(r-4.3)
RBM_1.39.0.tgz(r-4.4-any)RBM_1.39.0.tgz(r-4.3-any)
RBM_1.39.0.tar.gz(r-4.5-noble)RBM_1.39.0.tar.gz(r-4.4-noble)
RBM_1.39.0.tgz(r-4.4-emscripten)RBM_1.39.0.tgz(r-4.3-emscripten)
RBM.pdf |RBM.html✨
RBM/json (API)
| # Install 'RBM' in R: |
| install.packages('RBM', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- ovarian_cancer_methylation - Ovarian cancer methylation example from United Kingdom Ovarian Cancer Population Study
On BioConductor:RBM-1.39.0(bioc 3.21)RBM-1.38.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraydifferentialexpression
Last updated 2 months agofrom:7acbaeab9f. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 25 2024 |
| R-4.5-win | NOTE | Nov 25 2024 |
| R-4.5-linux | NOTE | Nov 25 2024 |
| R-4.4-win | NOTE | Nov 25 2024 |
| R-4.4-mac | NOTE | Nov 25 2024 |
| R-4.3-win | NOTE | Nov 25 2024 |
| R-4.3-mac | NOTE | Nov 25 2024 |
