Introduction | Simulation study | Individual analyses of the two simulated data sets | Use of p-value combination techniques | Treatment of conflicts in differential expression | IDD, IRR and Venn Diagram | Session Info
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:
metaRNASeq_1.0.8.tar.gz
metaRNASeq_1.0.8.zip(r-4.7-any)metaRNASeq_1.0.8.zip(r-4.6-any)metaRNASeq_1.0.8.zip(r-4.5-any)
metaRNASeq_1.0.8.tgz(r-4.6-any)metaRNASeq_1.0.8.tgz(r-4.5-any)
metaRNASeq_1.0.8.tar.gz(r-4.7-any)metaRNASeq_1.0.8.tar.gz(r-4.6-any)
metaRNASeq_1.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
metaRNASeq/json (API)
| # Install 'metaRNASeq' in R: |
| install.packages('metaRNASeq', repos = c('https://sblanck.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
highthroughputsequencingrnaseqdifferentialexpression
Last updated from:b705f0824e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 121 | ||
| source / vignettes | OK | 182 | ||
| linux-release | OK | 121 | ||
| macos-release | OK | 145 | ||
| macos-oldrel | OK | 211 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 72 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 95 |
Exports:extractfromsimfishercombIDD.IRRinvnormsim.function
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Meta-analysis for RNA-seq data. | metaRNASeq-package metaRNASeq |
| Simulated adjusted p-values | adjpval |
| Gamma regression parameters describing the mean-dispersion relationship for two real datasets. | dispFuncs |
| Simulated fold changes (FC) | FC |
| P-value combination using Fisher's method | fishercomb |
| Integration-driven Discovery and Integration-driven Revision Rates | IDD.IRR |
| P-value combination using the inverse normal method | invnorm |
| Mean simulation parameters | param |
| Simulated p-values | rawpval |
| Simulation of multiple RNA-seq experiments | extractfromsim sim.function |