Introduction | Download public data with GEOquery | Conditions | Convert esets to an Unigene format | metaMA Application | Venn Diagram | Annotations | Session Info
Package: metaMA 3.1.3
metaMA: Meta-Analysis for MicroArrays
Combination of either p-values or modified effect sizes from different studies to find differentially expressed genes.
Authors:
metaMA_3.1.3.tar.gz
metaMA_3.1.3.zip(r-4.7-any)metaMA_3.1.3.zip(r-4.6-any)metaMA_3.1.3.zip(r-4.5-any)
metaMA_3.1.3.tgz(r-4.6-any)metaMA_3.1.3.tgz(r-4.5-any)
metaMA_3.1.3.tar.gz(r-4.7-any)metaMA_3.1.3.tar.gz(r-4.6-any)
metaMA_3.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
metaMA/json (API)
| # Install 'metaMA' in R: |
| install.packages('metaMA', repos = c('https://sblanck.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- Singhdata - Singh dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4ca8d9ae28. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 179 | ||
| source / vignettes | OK | 227 | ||
| linux-release | OK | 177 | ||
| macos-release | OK | 179 | ||
| macos-oldrel | OK | 258 | ||
| windows-devel | OK | 91 | ||
| windows-release | OK | 109 | ||
| windows-oldrel | OK | 127 | ||
| wasm-release | OK | 155 |
Exports:calcfit2DiffrepdirectEScombidirectpvalcombieffectsizeEScombinationEScombination.pairedIDDIRRpvalcombinationpvalcombination.pairedrow.ttest.statrow.ttest.statprowVars
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Meta-analysis for MicroArrays | metaMA-package metaMA |
| Empirical Bayes statistics from limma analysis with unpaired data | calcfit2Diffrep |
| Direct effect size combination | directEScombi |
| Direct p-value combination | directpvalcombi |
| Calculates effect sizes from given t or moderated t statistics | effectsize |
| Effect size combination for unpaired data | EScombination |
| Effect size combination for paired data | EScombination.paired |
| Integration-driven Discovery and Integration-driven Revision Rates | IDDIRR |
| P-value combination for unpaired data | pvalcombination |
| P-value combination for paired data | pvalcombination.paired |
| Row t-tests | row.ttest.stat |
| Row paired t-tests | row.ttest.statp |
| Row variance of an array | rowVars |
| Singh dataset | Singhdata |