Package: metaRNASeq 1.0.7

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, cre], Andrea Rau [aut, cre], Florence Jaffrezic [aut], Samuel Blanck [ctb]

metaRNASeq_1.0.7.tar.gz
metaRNASeq_1.0.7.zip(r-4.5)metaRNASeq_1.0.7.zip(r-4.4)metaRNASeq_1.0.7.zip(r-4.3)
metaRNASeq_1.0.7.tgz(r-4.4-any)metaRNASeq_1.0.7.tgz(r-4.3-any)
metaRNASeq_1.0.7.tar.gz(r-4.5-noble)metaRNASeq_1.0.7.tar.gz(r-4.4-noble)
metaRNASeq_1.0.7.tgz(r-4.4-emscripten)metaRNASeq_1.0.7.tgz(r-4.3-emscripten)
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'))

Peer review:

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:

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 361 downloads 5 mentions 5 exports 0 dependencies

Last updated 3 years agofrom:409e883ee6. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winNOTENov 18 2024
R-4.5-linuxNOTENov 18 2024
R-4.4-winNOTENov 18 2024
R-4.4-macNOTENov 18 2024
R-4.3-winOKNov 18 2024
R-4.3-macOKNov 18 2024

Exports:extractfromsimfishercombIDD.IRRinvnormsim.function

Dependencies:

metaRNASeq Vignette

Rendered frommetaRNASeq.Rnwusingutils::Sweaveon Nov 18 2024.

Last update: 2021-10-01
Started: 2014-02-26