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metaMA
View on CRAN: Click
here
Download and install metaMA package within the R console
Install from CRAN:
install.packages("metaMA")
Install from Github:
library("remotes")
install_github("cran/metaMA") Install by package version:
library("remotes")
install_version("metaMA", "3.1.3") Attach the package and use:
library("metaMA")
Maintained by
Samuel Blanck
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-02-26
Latest Update: 2022-04-12
Description:
Combination of either p-values or modified effect sizes from different
studies to find differentially expressed genes.
How to cite:
Samuel Blanck (2009). metaMA: Meta-Analysis for MicroArrays. R package version 3.1.3, https://cran.r-project.org/web/packages/metaMA. Accessed 03 Sep. 2026.
Previous versions and publish date:
Other packages that cited metaMA R package
View metaMA citation profile
Other R packages that metaMA depends,
imports, suggests or enhances
Complete documentation for metaMA
Functions, R codes and Examples using
the metaMA R package
Some associated functions: EScombination . EScombination.paired . IDDIRR . Singhdata . calcfit2Diffrep . directEScombi . directpvalcombi . effectsize . metaMA-package . pvalcombination . pvalcombination.paired . row.ttest.stat . row.ttest.statp . rowVars .
Some associated R codes: EScombination.R . EScombination.paired.R . IDDIRR.R . calcfit2Diffrep.R . directEScombi.R . directpvalcombi.R . effectsize.R . pvalcombination.R . pvalcombination.paired.R . row.ttest.stat.R . row.ttest.statp.R . rowVars.R . Full metaMA package functions and examples
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