DESCRIPTION

Package: multinichenetr
Type: Package
Title: MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
Version: 2.1.0
Author: person("Robin", "Browaeys", email = "robin.browaeys@ugent.be",
  role = c("aut", "cre"))
Maintainer: Robin Browaeys <robin.browaeys@ugent.be>
Description: This package allows you the investigate differences in intercellular communication between multiple conditions of interest. It is a flexible framework that enables multi-criteria prioritization of cell-cell communication patterns from scRNAseq datasets with complex experimental designs.
    These datasets can contain multiple samples (e.g. patients) over different groups of interest (e.g. disease subtypes). With MultiNicheNet, you can now better analyze the differences in cell-cell signaling between the different groups of interest.
License: GPL-3 + file LICENSE
Encoding: UTF-8
URL: https://github.com/browaeysrobin/multinichenetr
BugReports: https://github.com/browaeysrobin/multinichenetr/issues
Depends: R (>= 3.5.0)
LazyData: yes
LazyDataCompression: bzip2
biocViews:
Imports: 
    circlize,
    patchwork,
    ggplot2,
    tibble,
    tidyr,
    purrr,
    ComplexHeatmap,
    stringr,
    generics,
    dplyr,
    grid,
    muscat,
    limma,
    SummarizedExperiment,
    S4Vectors,
    magrittr,
    scater,
    nichenetr,
    RColorBrewer,
    ggpubr,
    parallel,
    locfdr,
    edgeR,
    sva,
    SingleCellExperiment,
    ggbeeswarm,
    Hmisc,
    igraph,
    tidygraph,
    ggraph,
    scran,
    UpSetR,
    factoextra,
    viridis,
    foreach,
    doParallel
Suggests: 
    knitr,
    testthat,
    covr,
    tidyverse,
    BiocStyle,
    rmarkdown
VignetteBuilder: 
  knitr
Remotes: 
  github::saeyslab/nichenetr
RoxygenNote: 7.3.1