Package: AWFisher 1.21.0
Zhiguang Huo
AWFisher: An R package for fast computing for adaptively weighted fisher's method
Implementation of the adaptively weighted fisher's method, including fast p-value computing, variability index, and meta-pattern.
Authors:
AWFisher_1.21.0.tar.gz
AWFisher_1.21.0.zip(r-4.5)AWFisher_1.21.0.zip(r-4.4)AWFisher_1.21.0.zip(r-4.3)
AWFisher_1.21.0.tgz(r-4.4-x86_64)AWFisher_1.21.0.tgz(r-4.4-arm64)AWFisher_1.21.0.tgz(r-4.3-x86_64)AWFisher_1.21.0.tgz(r-4.3-arm64)
AWFisher_1.21.0.tar.gz(r-4.5-noble)AWFisher_1.21.0.tar.gz(r-4.4-noble)
AWFisher_1.21.0.tgz(r-4.4-emscripten)AWFisher_1.21.0.tgz(r-4.3-emscripten)
AWFisher.pdf |AWFisher.html✨
AWFisher/json (API)
NEWS
| # Install 'AWFisher' in R: |
| install.packages('AWFisher', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/caleb-huo/awfisher/issues
- data_mouseMetabolism - Mouse metabolism microarray data
On BioConductor:AWFisher-1.21.0(bioc 3.21)AWFisher-1.20.0(bioc 3.20)
Last updated 2 months agofrom:83d328b5b4. Checks:OK: 4 NOTE: 5. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 04 2024 |
| R-4.5-win-x86_64 | NOTE | Dec 04 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 04 2024 |
| R-4.4-win-x86_64 | NOTE | Dec 04 2024 |
| R-4.4-mac-x86_64 | NOTE | Dec 04 2024 |
| R-4.4-mac-aarch64 | NOTE | Dec 04 2024 |
| R-4.3-win-x86_64 | OK | Dec 04 2024 |
| R-4.3-mac-x86_64 | OK | Dec 04 2024 |
| R-4.3-mac-aarch64 | OK | Dec 04 2024 |
Exports:AWFisher_pvaluebiomarkerCategorizationfunction_edgeRfunction_limmavariabilityIndex
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| AWFisher | AWFisher_pvalue |
| biomarker categrorization | biomarkerCategorization |
| Mouse metabolism microarray data | data_mouseMetabolism |
| use edgeR function to get pvalue | function_edgeR |
| use limma function to get pvalue | function_limma |
| Variability Index | variabilityIndex |
