Package: scClassify
Type: Package
Title: scClassify: single-cell Hierarchical Classification
Version: 1.25.0
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
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev
        libglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev
        libssl-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:52:32 UTC
RemoteUrl: https://github.com/bioc/scClassify
RemoteRef: HEAD
RemoteSha: a6d4665cfa8687a91848163b20a6b020393fa4ce
NeedsCompilation: no
Packaged: 2026-06-15 07:36:10 UTC; root