Package: SubCellBarCode
Type: Package
Title: SubCellBarCode: Integrated workflow for robust mapping and
        visualizing whole human spatial proteome
Version: 1.2.6
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: 6.1.1
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/SubCellBarCode
git_branch: RELEASE_3_10
git_last_commit: b71aaa3
git_last_commit_date: 2020-01-13
Date/Publication: 2020-01-13
NeedsCompilation: no
Packaged: 2020-01-14 06:08:33 UTC; biocbuild
Built: R 3.6.2; ; 2020-01-14 15:14:16 UTC; windows
