DESCRIPTION

Package: CytoNorm
Type: Package
Title: Normalisation of cytometry data measured across multiple batches
Version: 2.0.9
Authors@R: c(person("Sofie", "Van Gassen", role = c("aut", "cre"),
            email = "sofie.vangassen@ugent.be"), 
            person("Katrien", "Quintelier", role = c("aut"),
            email = "KatrienL.Quintelier@UGent.be"))
Description: This package can be used to normalize cytometry samples when 
             a control sample is taken along in each of the batches. 
             This is done by first identifying multiple clusters/cell types, 
             learning the batch effects from the control samples and applying
             quantile normalization on all markers of interest.
Depends:
    R (>= 3.5)
Imports:
    flowCore,
    FlowSOM,
    emdist,
    dplyr,
    stringr,
    pheatmap,
    ggplot2 (>= 3.5.1),
    ggpubr,
    methods,
    gridExtra,
    ggridges,
    tidyr
Suggests:
    BiocStyle,
    knitr,
    rmarkdown
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 7.3.2
VignetteBuilder: knitr