Overview | Getting started | RBM_T and RBM_F functions | Ovarian cancer methylation example using the RBM_T function
Package: RBM 1.45.0
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_1.45.0.tar.gz
RBM_1.45.0.zip(r-4.7)RBM_1.45.0.zip(r-4.6)RBM_1.45.0.zip(r-4.5)
RBM_1.45.0.tgz(r-4.6-any)RBM_1.45.0.tgz(r-4.5-any)
RBM_1.45.0.tar.gz(r-4.7-any)RBM_1.45.0.tar.gz(r-4.6-any)
RBM_1.45.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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-1.45.0(bioc 3.24)RBM-1.44.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraydifferentialexpression
Last updated from:5bc99728da. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
