Package: scAnnotatR
Type: Package
Title: Pretrained learning models for cell type prediction on single
        cell RNA-sequencing data
Version: 1.18.0
Authors@R: 
    c(person("Vy", "Nguyen", email = "thi-tuong-vy.nguyen@meduniwien.ac.at", 
      role = c("aut"), comment = c(ORCID = "0000-0003-3436-3662")),
      person("Johannes", "Griss", email = "johannes.griss@meduniwien.ac.at", 
      role = c("cre"), comment = c(ORCID = "0000-0003-2206-9511")))
Description: The package comprises a set of pretrained machine learning models
             to predict basic immune cell types. This enables all users to 
             quickly get a first annotation of the cell types present in their 
             dataset without requiring prior knowledge. scAnnotatR also allows 
             users to train their own models to predict new cell types based on 
             specific research needs.
License: MIT + file LICENSE
Encoding: UTF-8
biocViews: SingleCell, Transcriptomics, GeneExpression,
        SupportVectorMachine, Classification, Software
Imports: dplyr, ggplot2, caret, ROCR, pROC, data.tree, methods, stats,
        e1071, ape, kernlab, AnnotationHub, utils
Suggests: knitr, rmarkdown, scRNAseq, testthat
VignetteBuilder: knitr
Depends: R (>= 4.1), Seurat, SingleCellExperiment, SummarizedExperiment
LazyData: true
RoxygenNote: 7.3.3
URL: https://github.com/grisslab/scAnnotatR
BugReports: https://github.com/grisslab/scAnnotatR/issues/new
git_url: https://git.bioconductor.org/packages/scAnnotatR
git_branch: RELEASE_3_23
git_last_commit: 0d69df3
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28
NeedsCompilation: no
Packaged: 2026-04-28 23:27:50 UTC; biocbuild
Author: Vy Nguyen [aut] (ORCID: <https://orcid.org/0000-0003-3436-3662>),
  Johannes Griss [cre] (ORCID: <https://orcid.org/0000-0003-2206-9511>)
Maintainer: Johannes Griss <johannes.griss@meduniwien.ac.at>
Built: R 4.6.0; ; 2026-04-29 04:59:10 UTC; unix
