Package: scAnnotate
Type: Package
Title: An Automated Cell Type Annotation Tool for Single-Cell
        RNA-Sequencing Data
Version: 0.3
Authors@R: c(person("Xiangling", "Ji",role="aut"),
       person("Danielle","Tsao",role="aut"),
       person("Kailun","Bai",role="ctb"),
       person("Min","Tsao",role="aut"),
       person("Li","Xing",role="aut"),
       person("Xuekui","Zhang",role=c("aut","cre"), email="xuekui@uvic.ca"))
Description: An entirely data-driven cell type annotation tools, which requires training data to learn the classifier, but not biological knowledge to make subjective decisions. It consists of three steps: preprocessing training and test data, model fitting on training data, and cell classification on test data. See Xiangling Ji,Danielle Tsao, Kailun Bai, Min Tsao, Li Xing, Xuekui Zhang.(2022)<doi:10.1101/2022.02.19.481159> for more details. 
Depends: R(>= 4.0.0)
License: GPL-3
URL: https://doi.org/10.1101/2022.02.19.481159
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Suggests: knitr, testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
Imports: glmnet, stats, Seurat (>= 5.0.1), harmony, SeuratObject
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-03-13 22:29:52 UTC; xzhang
Author: Xiangling Ji [aut],
  Danielle Tsao [aut],
  Kailun Bai [ctb],
  Min Tsao [aut],
  Li Xing [aut],
  Xuekui Zhang [aut, cre]
Maintainer: Xuekui Zhang <xuekui@uvic.ca>
Repository: CRAN
Date/Publication: 2024-03-14 00:00:02 UTC
Built: R 4.2.3; ; 2024-03-14 22:56:50 UTC; unix
