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.

5 exports 1.85 score 0 dependencies 2 dependents 5 mentions 22 scripts 311 downloads

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

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winNOTEAug 22 2024
R-4.5-linuxNOTEAug 22 2024
R-4.4-winNOTEAug 22 2024
R-4.4-macNOTEAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:extractfromsimfishercombIDD.IRRinvnormsim.function

Dependencies:

metaRNASeq Vignette

Rendered frommetaRNASeq.Rnwusingutils::Sweaveon Aug 22 2024.

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