DOI: 10.18129/B9.bioc.pRoloc    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see pRoloc.

A unifying bioinformatics framework for spatial proteomics

Bioconductor version: 3.7

The pRoloc package implements machine learning and visualisation methods for the analysis and interogation of quantitiative mass spectrometry data to reliably infer protein sub-cellular localisation.

Author: Laurent Gatto and Lisa M. Breckels with contributions from Thomas Burger and Samuel Wieczorek

Maintainer: Laurent Gatto <lg390 at>

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HTML R Script A transfer learning algorithm for spatial proteomics
HTML R Script Annotating spatial proteomics data
HTML R Script Machine learning techniques available in pRoloc
HTML R Script Using pRoloc for spatial proteomics data analysis
PDF   Reference Manual
Text   NEWS
Video   pRoloc, pRolocdata and pRolocGUI


biocViews Classification, Clustering, MassSpectrometry, Proteomics, QualityControl, Software
Version 1.20.2
In Bioconductor since BioC 2.12 (R-3.0) (5.5 years)
License GPL-2
Depends R (>= 2.15), MSnbase(>= 1.19.20), MLInterfaces(>= 1.37.1), methods, Rcpp (>= 0.10.3), BiocParallel
Imports Biobase, mclust (>= 4.3), caret, e1071, sampling, class, kernlab, lattice, nnet, randomForest, proxy, FNN, hexbin, BiocGenerics, stats, dendextend, RColorBrewer, scales, MASS, knitr, mvtnorm, gtools, plyr, ggplot2, biomaRt, utils, grDevices, graphics
LinkingTo Rcpp, RcppArmadillo
Suggests testthat, rmarkdown, pRolocdata(>= 1.9.4), roxygen2, synapter, xtable, rgl, BiocStyle(>= 2.5.19), hpar(>= 1.15.3), dplyr, GO.db, AnnotationDbi, Rtsne (>= 0.13), nipals
Depends On Me pRolocGUI, proteomics
Imports Me
Suggests Me MSnbase, pRolocdata, RforProteomics
Links To Me
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