DESCRIPTION

Package: SCISSORS
Type: Package
Title: Identify cell subpopulations in single cell RNA-seq data
Version: 1.2.0
Authors@R: c(person(given = "Jack", family = "Leary", email = "jrleary@live.unc.edu", role = c("aut", "cre")), 
             person(given = "Xianlu", family = "Peng", email = "xlpeng@med.unc.edu", role = c("aut", "ctb")))
Description: SCISSORS enables easy & robust identification of cell subtypes and other subpopulations in scRNA-seq data. The method leverages a cosine-distance based silhouette score that is calculated for each cell and indicates goodness of fit. Several different sets of parameters are tried, and the combination that maximizes this metric is considered optimal. 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
Depends:
  magrittr
Imports:
  Seurat,
  stats, 
  cluster, 
  SingleCellExperiment, 
  Matrix, 
  matrixStats, 
  dplyr, 
  ggplot2, 
  SeuratObject, 
  foreach, 
  doParallel, 
  parallel, 
  future
Suggests:
  rmarkdown, 
  knitr, 
  phateR, 
  biomaRt
URL: https://github.com/jr-leary7/SCISSORS
BugReports: https://github.com/jr-leary7/SCISSORS/issues 
VignetteBuilder: knitr