Package: CpGFilter 1.1
Jun Chen
CpGFilter: CpG Filtering Method Based on Intra-Class Correlation Coefficients
Filter CpGs based on Intra-class Correlation Coefficients (ICCs) when replicates are available. ICCs are calculated by fitting linear mixed effects models to all samples including the un-replicated samples. Including the large number of un-replicated samples improves ICC estimates dramatically. The method accommodates any replicate design.
Authors:
CpGFilter_1.1.tar.gz
CpGFilter_1.1.tar.gz(r-4.5-noble)CpGFilter_1.1.tar.gz(r-4.4-noble)
CpGFilter_1.1.tgz(r-4.4-emscripten)CpGFilter_1.1.tgz(r-4.3-emscripten)
CpGFilter.pdf |CpGFilter.html✨
CpGFilter/json (API)
| # Install 'CpGFilter' in R: |
| install.packages('CpGFilter', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:6e5a5fe5c6. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-linux | OK | Nov 03 2024 |
Exports:CpGFilterICC
Dependencies:matrixStats
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CpG filtering method based on intra-class correlation coefficients. | CpGFilterICC |