DESCRIPTION

Package: presto
Title: Fast Functions for Differential Expression using Wilcox and AUC
Version: 1.0.0
Authors@R: c(
    person("Ilya", "Korsunsky", email = "ilya.korsunsky@gmail.com", 
        role = c("aut"), comment = c(ORCID = "0000-0003-4848-3948")),
    person("Aparna", "Nathan", 
        role = "aut"),
    person("Nghia", "Millard", 
        role = "aut", comment = c(ORCID = "0000-0002-0518-7674")),
    person("Soumya", "Raychaudhuri", 
        role = c("aut"), comment = c(ORCID = "0000-0002-1901-8265")),
    person("Kamil", "Slowikowski", email = "kslowikowski@gmail.com",
        role = c("cre", "ctb"), comment = c(ORCID = "0000-0002-2843-6370")),
    person("Austin", "Hartman",
        role = c("ctb"), comment = c(ORCID = "0000-0001-7278-1852"))
    )
Description: Scalable implementation of the Wilcoxon rank sum test and auROC statistic. Interfaces to dense and sparse matrices, as well as genomics analysis frameworks Seurat and SingleCellExperiment. 
License: GPL-3
LazyData: true
Encoding: UTF-8
Depends: R (>= 3.4.0), Rcpp, data.table
LinkingTo: Rcpp, RcppArmadillo
biocViews:
Imports: 
    dplyr, 
    methods,
    tidyr, 
    purrr,
    tibble,
    Matrix,
    rlang,
    stats, 
    utils
RoxygenNote: 7.2.1
Suggests: 
    knitr,
    rmarkdown,
    testthat,
    Seurat,
    SingleCellExperiment, 
    SummarizedExperiment,
    broom,
    BiocStyle,
    DESeq2
NeedsCompilation: yes
VignetteBuilder: knitr