Package: gemma.R
Title: A wrapper for Gemma's Restful API to access curated gene
        expression data and differential expression analyses
Version: 3.0.14
Authors@R: 
    c(person(given = "Javier", family = "Castillo-Arnemann", 
             role = c("aut"), email = "javiercastilloar@gmail.com",
             comment = c(ORCID = "0000-0002-5626-9004")),
      person(given = "Jordan", family = "Sicherman", 
             role = c("aut"), email = "jordan.sicherman@msl.ubc.ca",
             comment = c(ORCID = "0000-0001-8160-4567")),
      person(given = "Ogan", family = "Mancarci", 
             role = c("cre", "aut"), email = "ogan.mancarci@gmail.com",
             comment = c(ORCID = "0000-0002-1452-0889")),
      person(give = "Guillaume", family = "Poirier-Morency",
             role = c("aut"), email = "poirigui@msl.ubc.ca",
             comment = c(ORCID = "0000-0002-6554-0441")))
Description: 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.
URL: https://pavlidislab.github.io/gemma.R/,
        https://github.com/PavlidisLab/gemma.R
License: Apache License (>= 2)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
BugReports: https://github.com/PavlidisLab/gemma.R/issues
Imports: magrittr, glue, memoise, jsonlite, data.table, rlang,
        lubridate, utils, stringr, SummarizedExperiment, Biobase,
        tibble, tidyr, S4Vectors, httr, rappdirs, bit64, assertthat,
        digest, R.utils, base64enc
Suggests: testthat (>= 2.0.0), rmarkdown, knitr, dplyr, covr, ggplot2,
        ggrepel, BiocStyle, microbenchmark, magick, purrr, pheatmap,
        viridis, poolr, kableExtra, listviewer, shiny
Config/testthat/edition: 2
VignetteBuilder: knitr
biocViews: Software, DataImport, Microarray, SingleCell,
        ThirdPartyClient, DifferentialExpression, GeneExpression,
        Bayesian, Annotation, ExperimentalDesign, Normalization,
        BatchEffect, Preprocessing
git_url: https://git.bioconductor.org/packages/gemma.R
git_branch: RELEASE_3_19
git_last_commit: a5b89bb
git_last_commit_date: 2024-08-08
Repository: Bioconductor 3.19
Date/Publication: 2024-08-11
NeedsCompilation: no
Packaged: 2024-08-11 22:59:39 UTC; biocbuild
Author: Javier Castillo-Arnemann [aut]
    (<https://orcid.org/0000-0002-5626-9004>),
  Jordan Sicherman [aut] (<https://orcid.org/0000-0001-8160-4567>),
  Ogan Mancarci [cre, aut] (<https://orcid.org/0000-0002-1452-0889>),
  Guillaume Poirier-Morency [aut]
    (<https://orcid.org/0000-0002-6554-0441>)
Maintainer: Ogan Mancarci <ogan.mancarci@gmail.com>
Built: R 4.4.1; ; 2024-08-12 11:34:51 UTC; windows
