gemma.R
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see gemma.R.
A wrapper for Gemma's Restful API to access curated gene expression data and differential expression analyses
Bioconductor version: 3.19
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("gemma.R")):
Installation
To install this package, start R (version "4.4") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("gemma.R")| A guide to metadata for samples and differential expression analyses | HTML | R Script |
| A meta analysis on effects of Parkinson's Disease using Gemma.R | HTML | R Script |
| Accessing curated gene expression data with gemma.R | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Annotation, BatchEffect, Bayesian, DataImport, DifferentialExpression, ExperimentalDesign, GeneExpression, Microarray, Normalization, Preprocessing, SingleCell, Software, ThirdPartyClient |
| Version | 3.0.14 |
| In Bioconductor since | BioC 3.16 (R-4.2) (2 years) |
| 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, digest, R.utils, base64enc |
| System Requirements | |
| URL | https://pavlidislab.github.io/gemma.R/ https://github.com/PavlidisLab/gemma.R |
| Bug Reports | https://github.com/PavlidisLab/gemma.R/issues |
See More
| Suggests | testthat (>= 2.0.0), rmarkdown, knitr, dplyr, covr, ggplot2, ggrepel, BiocStyle, microbenchmark, magick, purrr, pheatmap, viridis, poolr, kableExtra, listviewer, shiny |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | gemma.R_3.0.14.tar.gz |
| Windows Binary (x86_64) | gemma.R_3.0.14.zip (64-bit only) |
| macOS Binary (x86_64) | gemma.R_3.0.14.tgz |
| macOS Binary (arm64) | gemma.R_3.0.14.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 3.19 | Source Archive |