DESCRIPTION

Package: CellWalkR
Type: Package
Date: 2022-11-1
Title: An R Package for Integrating and Visualizing Single-Cell and Bulk Data to Resolve Regulatory Elements 
Version: 0.99.1
Authors@R: person(given="Pawel F.", family="Przytycki", role=c("aut","cre"), email="pawel.przytycki@gladstone.ucsf.edu")
Description: CellWalkR is an R package that integrates single-cell open chromatin (scATAC-seq) data with cell type labels and bulk epigenetic data to identify cell type-specific regulatory regions. A GPU implementation and downsampling strategies enable thousands of cells to be processed in seconds. CellWalkR’s user-friendly interface provides interactive analysis and visualization of cell labels and regulatory region mappings.
License: GPL-2 + file LICENSE
Encoding: UTF-8
Depends:
  R (>= 4.0.0),
  GenomicRanges (>= 1.40.0)
Imports:
	data.table,
	Matrix,
Suggests:
    SnapATAC,
    ArchR,
    cicero,
    Seurat (>= 3.0),
    tensorflow,
    ggplot2,
    scales,
    reshape2,
    Rtsne,
    uwot,
    igraph,
    dendextend,
    circlize,
    plotly,
    shiny,
    parallel,
    knitr,
    rmarkdown
RoxygenNote: 7.1.2
VignetteBuilder: knitr
LazyData: true
biocViews: SingleCell, ATACSeq, Software