Package: SubCellBarCode
Type: Package
Title: SubCellBarCode: Integrated workflow for robust mapping and
        visualizing whole human spatial proteome
Version: 1.29.0
Author: Taner Arslan
Maintainer: Taner Arslan <taner.arslan@ki.se>
Description: Mass-Spectrometry based spatial proteomics have enabled
        the proteome-wide mapping of protein subcellular localization
        (Orre et al. 2019, Molecular Cell). SubCellBarCode R package
        robustly classifies proteins into corresponding subcellular
        localization.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Suggests: knitr, rmarkdown, BiocStyle
Imports: Rtsne, scatterplot3d, caret, e1071, ggplot2, gridExtra,
        networkD3, ggrepel, graphics, stats, org.Hs.eg.db,
        AnnotationDbi
biocViews: Proteomics, MassSpectrometry, Classification
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Config/pak/sysreqs: cmake 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 12:50:14 UTC
RemoteUrl: https://github.com/bioc/SubCellBarCode
RemoteRef: HEAD
RemoteSha: 143b34222424376471dceb12bb962c2c9015509f
NeedsCompilation: no
Packaged: 2026-05-30 09:49:00 UTC; root
Built: R 4.6.0; ; 2026-05-30 10:27:53 UTC; windows
