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metaRNASeq  

Meta-Analysis of RNA-Seq Data
View on CRAN: Click here


Download and install metaRNASeq package within the R console
Install from CRAN:
install.packages("metaRNASeq")

Install from Github:
library("remotes")
install_github("cran/metaRNASeq")

Install by package version:
library("remotes")
install_version("metaRNASeq", "1.0.7")



Attach the package and use:
library("metaRNASeq")
Maintained by
samuel Blanck
[Scholar Profile | Author Map]
First Published: 2014-03-14
Latest Update: 2021-10-01
Description:
Implementation of two p-value combination techniques (inverse normal and Fisher methods). A vignette is provided to explain how to perform a meta-analysis from two independent RNA-seq experiments.
How to cite:
samuel Blanck (2014). metaRNASeq: Meta-Analysis of RNA-Seq Data. R package version 1.0.7, https://cran.r-project.org/web/packages/metaRNASeq. Accessed 17 Mar. 2025.
Previous versions and publish date:
0.4 (2014-03-14 12:19), 1.0.2 (2015-01-26 20:33), 1.0.3 (2020-10-09 12:50), 1.0.5 (2021-03-15 15:20)
Other packages that cited metaRNASeq R package
View metaRNASeq citation profile
Other R packages that metaRNASeq depends, imports, suggests or enhances
Complete documentation for metaRNASeq
Functions, R codes and Examples using the metaRNASeq R package
Some associated functions: IDD.IRR . adjpval . dispFuncs . fc . fishercomb . invnorm . metaRNASeq-package . param . rawpval . sim.function . 
Some associated R codes: IDD.IRR.R . fishercomb.R . invnorm.R . sim.function.R .  Full metaRNASeq package functions and examples
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