DESCRIPTION

Type: Package
Package: DoubletFinder
Title: DoubletFinder is a suite of tools for identifying doublets
    in single-cell RNA sequencing data
Version: 2.0.4
Author: person("Chris", "McGinnis", email =
    "cmcginni@stanford.edu", role = c("aut","cre"))
Maintainer: <cmcginni92@gmail.com>
Description: DoubletFinder identifies doublets by generating
    artificial doublets from existing scRNA-seq data and defining which
    real cells preferentially co-localize with artificial doublets in gene
    expression space. Other DoubletFinder package functions are used for
    fitting DoubletFinder to different scRNA-seq datasets. For example,
    ideal DoubletFinder performance in real-world contexts requires (I)
    Optimal pK selection and (2) Homotypic doublet proportion estimation.
    pK selection is achieved using pN-pK parameter sweeps and maxima
    identification in mean-variance-normalized bimodality coefficient
    distributions. Homotypic doublet proportion estimation is achieved by
    finding the sum of squared cell annotation frequencies. For more
    information, see our Cell Sysmtes paper
    https://www.cell.com/cell-systems/fulltext/S2405-4712(19)30073-0 and
    our github https://github.com/chris-mcginnis-ucsf/DoubletFinder.
License: CC0
Depends:
    R (>= 4.0.0)
Imports:
    fields,
    KernSmooth,
    parallel,
    ROCR,
    Seurat,
    SeuratObject
Suggests:
    testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2