Package: AWFisher 1.19.0

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_1.19.0.tar.gz
AWFisher_1.19.0.zip(r-4.5)AWFisher_1.19.0.zip(r-4.4)AWFisher_1.19.0.zip(r-4.3)
AWFisher_1.19.0.tgz(r-4.4-arm64)AWFisher_1.19.0.tgz(r-4.4-x86_64)AWFisher_1.19.0.tgz(r-4.3-arm64)AWFisher_1.19.0.tgz(r-4.3-x86_64)
AWFisher_1.19.0.tar.gz(r-4.5-noble)AWFisher_1.19.0.tar.gz(r-4.4-noble)
AWFisher_1.19.0.tgz(r-4.4-emscripten)AWFisher_1.19.0.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'))

Peer review:

Bug tracker:https://github.com/caleb-huo/awfisher/issues

Datasets:

On BioConductor:AWFisher-1.19.0(bioc 3.20)AWFisher-1.18.0(bioc 3.19)

bioconductor-package

5 exports 0.49 score 6 dependencies

Last updated 2 months agofrom:65d79054c2

Exports:AWFisher_pvaluebiomarkerCategorizationfunction_edgeRfunction_limmavariabilityIndex

Dependencies:edgeRlatticelimmalocfitRcppstatmod

AW Fisher tutorial

Zhiguang Huo (Department of Biostatistics, University of Florida)

Rendered fromAWFisher.Rmdusingknitr::knitron Jul 05 2024.

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