Package: AWFisher 1.26.0
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_1.26.0.tar.gz
AWFisher_1.26.0.zip(r-4.7-x86_64)AWFisher_1.26.0.zip(r-4.6-x86_64)AWFisher_1.26.0.zip(r-4.5-x86_64)
AWFisher_1.26.0.tgz(r-4.6-x86_64)AWFisher_1.26.0.tgz(r-4.6-arm64)AWFisher_1.26.0.tgz(r-4.5-x86_64)AWFisher_1.26.0.tgz(r-4.5-arm64)
AWFisher_1.26.0.tar.gz(r-4.7-arm64)AWFisher_1.26.0.tar.gz(r-4.7-x86_64)AWFisher_1.26.0.tar.gz(r-4.6-arm64)AWFisher_1.26.0.tar.gz(r-4.6-x86_64)
AWFisher_1.26.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
AWFisher/json (API)
| # Install 'AWFisher' in R: |
| install.packages('AWFisher', repos = c('https://bioc-release.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-1.27.0(bioc 3.24)AWFisher-1.26.0(bioc 3.23)
Last updated from:234ee80f88 (on RELEASE_3_23). Checks:1 FAILURE, 11 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | FAILURE | 199 | ||
| linux-devel-arm64 | NOTE | 101 | ||
| linux-devel-x86_64 | NOTE | 181 | ||
| source / vignettes | OK | 264 | ||
| linux-release-arm64 | NOTE | 109 | ||
| linux-release-x86_64 | NOTE | 174 | ||
| macos-release-arm64 | NOTE | 110 | ||
| macos-release-x86_64 | NOTE | 157 | ||
| macos-oldrel-arm64 | NOTE | 102 | ||
| macos-oldrel-x86_64 | NOTE | 225 | ||
| windows-devel-x86_64 | NOTE | 84 | ||
| windows-release-x86_64 | NOTE | 91 | ||
| windows-oldrel-x86_64 | NOTE | 109 | ||
| wasm-release | OK | 95 |
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 |
