Package: AWFisher 1.27.0

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:Zhiguang Huo

AWFisher_1.27.0.tar.gz
AWFisher_1.27.0.zip(r-4.7)AWFisher_1.27.0.zip(r-4.6)AWFisher_1.27.0.zip(r-4.5)
AWFisher_1.27.0.tgz(r-4.6-x86_64)AWFisher_1.27.0.tgz(r-4.6-arm64)AWFisher_1.27.0.tgz(r-4.5-x86_64)AWFisher_1.27.0.tgz(r-4.5-arm64)
AWFisher_1.27.0.tar.gz(r-4.7-arm64)AWFisher_1.27.0.tar.gz(r-4.7-x86_64)AWFisher_1.27.0.tar.gz(r-4.6-arm64)AWFisher_1.27.0.tar.gz(r-4.6-x86_64)
AWFisher_1.27.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

Datasets:

On BioConductor:AWFisher-1.27.0(bioc 3.24)AWFisher-1.26.0(bioc 3.23)

statisticalmethodsoftware

4.70 score 5 stars 4 scripts 482 downloads 5 exports 5 dependencies

Last updated from:bc26c90de3. Checks:1 ERROR, 11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR130
linux-devel-arm64NOTE134
linux-devel-x86_64NOTE176
source / vignettesOK172
linux-release-arm64NOTE116
linux-release-x86_64NOTE172
macos-release-arm64NOTE81
macos-release-x86_64NOTE233
macos-oldrel-arm64NOTE109
macos-oldrel-x86_64NOTE278
windows-develNOTE94
windows-releaseNOTE78
windows-oldrelNOTE87
wasm-releaseOK92

Exports:AWFisher_pvaluebiomarkerCategorizationfunction_edgeRfunction_limmavariabilityIndex

Dependencies:edgeRlatticelimmalocfitstatmod

AW Fisher tutorial

Zhiguang Huo (Department of Biostatistics, University of Florida)

Rendered fromAWFisher.Rmdusingknitr::knitron May 29 2026.

Last update: 2020-02-08
Started: 2018-09-16

Readme and manuals

Help Manual

Help pageTopics
AWFisherAWFisher_pvalue
biomarker categrorizationbiomarkerCategorization
Mouse metabolism microarray datadata_mouseMetabolism
use edgeR function to get pvaluefunction_edgeR
use limma function to get pvaluefunction_limma
Variability IndexvariabilityIndex