DESCRIPTION

Package: scClassify
Type: Package
Title: scClassify: single-cell Hierarchical Classification 
Version: 1.5.1
Author: Yingxin Lin
Maintainer: Yingxin Lin <yingxin.lin@sydney.edu.au>
Description: scClassify is a multiscale classification framework for single-cell RNA-seq data based on ensemble learning and cell type hierarchies, enabling sample size estimation required for accurate cell type classification and joint classification of cells using multiple references.
License: GPL-3
Encoding: UTF-8
LazyData: false
Depends: R (>= 4.0)
Imports:
    S4Vectors,
    limma,
    ggraph,
    igraph,
    methods,
    cluster,
    minpack.lm,
    mixtools,
    BiocParallel,
    proxy,
    proxyC,
    Matrix,
    ggplot2,
    hopach,
    diptest,
    mgcv,
    stats,
    graphics,
    statmod,
    Cepo
RoxygenNote: 7.1.1
Suggests: 
    knitr,
    rmarkdown,
    BiocStyle,
    pkgdown
VignetteBuilder: knitr
biocViews: SingleCell, GeneExpression, Classification
BugReports: https://github.com/SydneyBioX/scClassify/issues