Package: scFeatures
Title: scFeatures: Multi-view representations of single-cell and
        spatial data for disease outcome prediction
Version: 1.10.9
Authors@R: 
    c(
    person(given = "Yue",family = "Cao", email = "yue.cao@sydney.edu.au",  role=c("aut", "cre")),
    person(given = "Yingxin",family = "Lin", email = "yingxin.lin@sydney.edu.au",  role="aut" ),
    person(given = "Ellis",family = "Patrick", email = "ellis.patrick@sydney.edu.au",  role="aut" ),
    person(given = "Pengyi",family = "Yang", email = "pengyi.yang@sydney.edu.au",  role="aut" ),
    person(given = "Jean Yee Hwa",family = "Yang", email = "jean.yang@sydney.edu.au",  role="aut" ))
Description: scFeatures constructs multi-view representations of
        single-cell and spatial data. scFeatures is a tool that
        generates multi-view representations of single-cell and spatial
        data through the construction of a total of 17 feature types.
        These features can then be used for a variety of analyses using
        other software in Biocondutor.
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
biocViews: CellBasedAssays, SingleCell, Spatial, Software,
        Transcriptomics
Depends: R (>= 4.2.0)
Imports: DelayedArray, DelayedMatrixStats, EnsDb.Hsapiens.v79,
        EnsDb.Mmusculus.v79, GSVA, ape, glue, dplyr, ensembldb, gtools,
        msigdbr, proxyC, reshape2, spatstat.explore, spatstat.geom,
        tidyr, AUCell, BiocParallel, rmarkdown, methods, stats, cli,
        MatrixGenerics, Seurat, DT
Suggests: knitr, S4Vectors, survival, survminer, BiocStyle, ClassifyR,
        org.Hs.eg.db, clusterProfiler, pheatmap, limma, ggplot2,
        plotly, igraph, data.table, enrichplot, DOSE, rmarkdown
VignetteBuilder: knitr
URL: https://sydneybiox.github.io/scFeatures/
        https://github.com/SydneyBioX/scFeatures/
BugReports: https://github.com/SydneyBioX/scFeatures/issues
Config/pak/sysreqs: libglpk-dev make libmagick++-dev gsfonts libbz2-dev
        libicu-dev liblzma-dev libpng-dev libxml2-dev libssl-dev
        python3 xz-utils zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-02-12 12:01:23 UTC
RemoteUrl: https://github.com/bioc/scFeatures
RemoteRef: RELEASE_3_22
RemoteSha: a411d24ccc446d07c7d09f7365398cfa4a88a12b
NeedsCompilation: no
Packaged: 2026-03-16 08:21:56 UTC; root
Author: Yue Cao [aut, cre],
  Yingxin Lin [aut],
  Ellis Patrick [aut],
  Pengyi Yang [aut],
  Jean Yee Hwa Yang [aut]
Maintainer: Yue Cao <yue.cao@sydney.edu.au>
Built: R 4.5.3; ; 2026-03-16 08:25:44 UTC; windows
