A pipeline for the meta-analysis of gene expression data. We have assembled several analysis and plot functions to perform integrated multi-cohort analysis of gene expression data (meta- analysis). Methodology described in: <http://biorxiv.org/content/early/2016/08/25/071514>.
| Version: | 2.1.3 |
| Depends: | R (≥ 3.6) |
| Imports: | BiocManager, rmeta, multtest, ggplot2, parallel, Rmisc, gplots, Biobase, RMySQL, DBI, stringr, preprocessCore, GEOquery, GEOmetadb, RSQLite, data.table, ggpubr, ROCR, zoo, pracma, COCONUT, Metrics, manhattanly, DT, pheatmap, plyr, boot, dplyr, reshape2, rmarkdown, AnnotationDbi, HGNChelper, magrittr, readr, plotly, httpuv |
| Suggests: | BiocStyle, knitr, RUnit, BiocGenerics, snplist, magick |
| Published: | 2020-02-26 |
| Author: | Winston A. Haynes, Francesco Vallania, Aurelie Tomczak, Timothy Sweeney, Erika Bongen, Aditya M. Rao, Purvesh Khatri |
| Maintainer: | Aditya M. Rao <adityamr at stanford.edu> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| URL: | http://biorxiv.org/content/early/2016/08/25/071514 |
| NeedsCompilation: | no |
| Citation: | MetaIntegrator citation info |
| Materials: | README NEWS |
| In views: | MetaAnalysis |
| CRAN checks: | MetaIntegrator results |
| Reference manual: | MetaIntegrator.pdf |
| Vignettes: |
Analysis of gene expression data MetaIntegrator Real Example on GEO Data |
| Package source: | MetaIntegrator_2.1.3.tar.gz |
| Windows binaries: | r-devel: MetaIntegrator_2.1.3.zip, r-release: MetaIntegrator_2.1.3.zip, r-oldrel: MetaIntegrator_2.1.3.zip |
| macOS binaries: | r-release (arm64): MetaIntegrator_2.1.3.tgz, r-oldrel (arm64): MetaIntegrator_2.1.3.tgz, r-release (x86_64): MetaIntegrator_2.1.3.tgz, r-oldrel (x86_64): MetaIntegrator_2.1.3.tgz |
| Old sources: | MetaIntegrator archive |
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