Bioconductor version: Release (3.17)
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] , Ogan Mancarci [cre, 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 "4.3") 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 | 1.2.0 |
In Bioconductor since | BioC 3.16 (R-4.2) (1 year) |
License | Apache License (>= 2) |
Depends | |
Imports | magrittr, glue, memoise, jsonlite, data.table, rlang, lubridate, utils, stringr, SummarizedExperiment, Biobase, tibble, tidyr, S4Vectors, httr, rappdirs, bit64, assertthat |
LinkingTo | |
Suggests | testthat (>= 2.0.0), rmarkdown, knitr, dplyr, covr, ggplot2, ggrepel, BiocStyle, microbenchmark, magick, purrr, pheatmap, viridis, poolr, digest |
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_1.2.0.tar.gz |
Windows Binary | gemma.R_1.2.0.zip |
macOS Binary (x86_64) | gemma.R_1.2.0.tgz |
macOS Binary (arm64) | gemma.R_1.2.0.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 |
Old Source Packages for BioC 3.17 | Source Archive |
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