Package: COCONUT 1.0.2
Timothy E Sweeney
COCONUT: COmbat CO-Normalization Using conTrols (COCONUT)
Allows for pooled analysis of microarray data by batch-correcting control samples, and then applying the derived correction parameters to non-control samples to obtain bias-free, inter-dataset corrected data.
Authors:
COCONUT_1.0.2.tar.gz
COCONUT_1.0.2.tar.gz(r-4.5-noble)COCONUT_1.0.2.tar.gz(r-4.4-noble)
COCONUT_1.0.2.tgz(r-4.4-emscripten)COCONUT_1.0.2.tgz(r-4.3-emscripten)
COCONUT.pdf |COCONUT.html✨
COCONUT/json (API)
| # Install 'COCONUT' in R: |
| install.packages('COCONUT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- GSEs.test - COCONUT test data
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:068d35398f. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
Exports:COCONUTcombineCOCOoutput
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| COmbat CO-Normalization Using conTrols: COmbat CO-Normalization Using conTrols (COCONUT) | COCONUT-package |
| COmbat CO-Normalization Using conTrols: COCONUT | COCONUT |
| Combine COCONUT output from multiple objects into a single object | combineCOCOoutput |
| COCONUT test data | GSEs.test |