This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see gemma.R.
Bioconductor version: 3.16
Low- and high-level wrappers for Gemma's RESTful API. They enable access to curated expression and differential expression data from over 10,000 published studies. Gemma is a web site, database and a set of tools for the meta-analysis, re-use and sharing of genomics data, currently primarily targeted at the analysis of gene expression profiles.
Author: Javier Castillo-Arnemann [aut]  , Jordan Sicherman [aut]
, Jordan Sicherman [aut]  , Ogan Mancarci [cre, aut]
, Ogan Mancarci [cre, aut]  , Guillaume Poirier-Morency [aut]
, Guillaume Poirier-Morency [aut]  
 
Maintainer: Ogan Mancarci <ogan.mancarci at gmail.com>
Citation (from within R,
      enter citation("gemma.R")):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("gemma.R")
    For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("gemma.R")
    
| HTML | R Script | Accessing curated gene expression data with gemma.R | 
| Reference Manual | ||
| Text | NEWS | 
| biocViews | Annotation, BatchEffect, Bayesian, DataImport, DifferentialExpression, ExperimentalDesign, GeneExpression, Microarray, Normalization, Preprocessing, SingleCell, Software, ThirdPartyClient | 
| Version | 1.0.1 | 
| In Bioconductor since | BioC 3.16 (R-4.2) (< 6 months) | 
| License | Apache License (>= 2) | 
| Depends | |
| Imports | magrittr, glue, memoise, jsonlite, data.table, rlang, lubridate, utils, stringr, SummarizedExperiment, Biobase, tibble, tidyr, S4Vectors, httr, rappdirs, bit64 | 
| LinkingTo | |
| Suggests | testthat (>= 2.0.0), rmarkdown, knitr, dplyr, covr, ggplot2, ggrepel, BiocStyle, microbenchmark, magick, purrr, pheatmap, viridis | 
| SystemRequirements | |
| Enhances | |
| URL | https://pavlidislab.github.io/gemma.R/ https://github.com/PavlidisLab/gemma.R | 
| BugReports | https://github.com/PavlidisLab/gemma.R/issues | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | gemma.R_1.0.1.tar.gz | 
| Windows Binary | gemma.R_1.0.1.zip | 
| macOS Binary (x86_64) | gemma.R_1.0.1.tgz | 
| macOS Binary (arm64) | gemma.R_1.0.1.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/gemma.R | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/gemma.R | 
| Bioc Package Browser | https://code.bioconductor.org/browse/gemma.R/ | 
| Package Short Url | https://bioconductor.org/packages/gemma.R/ | 
| Package Downloads Report | Download Stats | 
 
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