Bioconductor version: Release (3.16)
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.
Author: Taner Arslan
Maintainer: Taner Arslan <taner.arslan at ki.se>
Citation (from within R,
enter citation("SubCellBarCode")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SubCellBarCode")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SubCellBarCode")
HTML | R Script | SubCellBarCode R Markdown vignettes |
Reference Manual | ||
Text | NEWS |
biocViews | Classification, MassSpectrometry, Proteomics, Software |
Version | 1.14.0 |
In Bioconductor since | BioC 3.9 (R-3.6) (4 years) |
License | GPL-2 |
Depends | R (>= 3.6) |
Imports | Rtsne, scatterplot3d, caret, e1071, ggplot2, gridExtra, networkD3, ggrepel, graphics, stats, org.Hs.eg.db, AnnotationDbi |
LinkingTo | |
Suggests | knitr, rmarkdown, BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SubCellBarCode_1.14.0.tar.gz |
Windows Binary | SubCellBarCode_1.14.0.zip |
macOS Binary (x86_64) | SubCellBarCode_1.14.0.tgz |
macOS Binary (arm64) | SubCellBarCode_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SubCellBarCode |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SubCellBarCode |
Bioc Package Browser | https://code.bioconductor.org/browse/SubCellBarCode/ |
Package Short Url | https://bioconductor.org/packages/SubCellBarCode/ |
Package Downloads Report | Download Stats |
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