Package: SubCellBarCode
Type: Package
Title: SubCellBarCode: Integrated workflow for robust mapping and
        visualizing whole human spatial proteome
Version: 1.26.0
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: libglpk-dev make libicu-dev libpng-dev libxml2-dev
        libssl-dev zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:52:15 UTC
RemoteUrl: https://github.com/bioc/SubCellBarCode
RemoteRef: RELEASE_3_22
RemoteSha: 97a1a2200b20ffa9c566d74891649cbc7dbc164d
NeedsCompilation: no
Packaged: 2025-11-18 07:36:05 UTC; root
Built: R 4.5.2; ; 2025-11-18 07:38:18 UTC; windows
