Package: metaRNASeq 1.0.8

metaRNASeq: Meta-Analysis of RNA-Seq Data

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.

Authors:Guillemette Marot [aut], Andrea Rau [aut], Florence Jaffrezic [aut], Samuel Blanck [ctb, cre]

metaRNASeq_1.0.8.tar.gz
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metaRNASeq.pdf |metaRNASeq.html✨
metaRNASeq/json (API)
NEWS

# Install 'metaRNASeq' in R:
install.packages('metaRNASeq', repos = c('https://sblanck.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • FC - Simulated fold changes
  • adjpval - Simulated adjusted p-values
  • dispFuncs - Gamma regression parameters describing the mean-dispersion relationship for two real datasets.
  • param - Mean simulation parameters
  • rawpval - Simulated p-values

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

highthroughputsequencingrnaseqdifferentialexpression

3.82 score 1 stars 2 packages 22 scripts 240 downloads 5 mentions 5 exports 0 dependencies

Last updated 2 days agofrom:b705f0824e. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-winOKMar 26 2025
R-4.5-macOKMar 26 2025
R-4.5-linuxOKMar 26 2025
R-4.4-winOKMar 26 2025
R-4.4-macOKMar 26 2025
R-4.4-linuxOKMar 26 2025
R-4.3-winOKMar 26 2025
R-4.3-macOKMar 26 2025

Exports:extractfromsimfishercombIDD.IRRinvnormsim.function

Dependencies:

metaRNASeq Vignette

Rendered frommetaRNASeq.Rnwusingutils::Sweaveon Mar 26 2025.

Last update: 2025-03-26
Started: 2014-02-26