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-4.5)metaMA_3.1.3.zip(r-4.4)metaMA_3.1.3.zip(r-4.3)
metaMA_3.1.3.tgz(r-4.4-any)metaMA_3.1.3.tgz(r-4.3-any)
metaMA_3.1.3.tar.gz(r-4.5-noble)metaMA_3.1.3.tar.gz(r-4.4-noble)
metaMA_3.1.3.tgz(r-4.4-emscripten)metaMA_3.1.3.tgz(r-4.3-emscripten)
metaMA.pdf |metaMA.html✨
metaMA/json (API)
NEWS
# Install 'metaMA' in R: |
install.packages('metaMA', repos = c('https://sblanck.r-universe.dev', 'https://cloud.r-project.org')) |
- 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 3 years agofrom:4ca8d9ae28. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win | OK | Oct 29 2024 |
R-4.5-linux | OK | Oct 29 2024 |
R-4.4-win | NOTE | Oct 29 2024 |
R-4.4-mac | NOTE | Oct 29 2024 |
R-4.3-win | OK | Oct 29 2024 |
R-4.3-mac | OK | Oct 29 2024 |
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 |