pRoloc
This is the released version of pRoloc; for the devel version, see pRoloc.
All Bioconductor versions of pRoloc
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12
A unifying bioinformatics framework for spatial proteomics
Bioconductor version: 3.23 · Package version: 1.52.0
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 [aut], Lisa Breckels [aut, cre], Thomas Burger [ctb], Samuel Wieczorek [ctb], Charlotte Hutchings [ctb], Oliver Crook [aut]
Maintainer: Lisa Breckels <lms79 at cam.ac.uk>
Citation
From within R, enter citation("pRoloc"):
Laurent Gatto, Lisa Breckels, Oliver Crook. pRoloc: A unifying bioinformatics framework for spatial proteomics. doi:10.18129/B9.bioc.pRoloc, R package version 1.52.0, https://bioconductor.org/packages/pRoloc.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("pRoloc")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.52.0 |
| License | GPL-2 |
| URL | https://github.com/lgatto/pRoloc |
| Bug Reports | https://github.com/lgatto/pRoloc/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 2.12 (R-3.0) (13 years) |
| Downloads rank | 288 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Clustering, ImmunoOncology, MassSpectrometry, Proteomics, QualityControl, Software |
| Package Short Url | https://bioconductor.org/packages/pRoloc/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pRoloc")| A transfer learning algorithm for spatial proteomics | HTML | R Script |
| Bayesian Analysis of Spatial Proteomics data using pRoloc | HTML | R Script |
| Machine learning techniques available in pRoloc | HTML | R Script |
| Using pRoloc for spatial proteomics data analysis | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | pRoloc_1.52.0.tar.gz |
| Windows binary (x86_64) | pRoloc_1.52.0.zip |
| macOS binary (arm64) | pRoloc_1.52.0.tgz |
| macOS binary (x86_64) | pRoloc_1.52.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/pRoloc |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pRoloc |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 3.5), MSnbase (>= 1.19.20), MLInterfaces (>= 1.67.10), methods, Rcpp (>= 0.10.3), BiocParallel
Imports: stats4, Biobase, mclust (>= 4.3), caret, e1071, sampling, class, kernlab, lattice, nnet, randomForest, proxy, FNN, hexbin, BiocGenerics, stats, dendextend, RColorBrewer, scales, MASS, knitr, mvtnorm, LaplacesDemon, coda, mixtools, gtools, plyr, ggplot2, biomaRt, utils, grDevices, graphics, colorspace
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, rmarkdown, pRolocdata (>= 1.43.2), roxygen2, xtable, rgl, BiocStyle (>= 2.5.19), hpar (>= 1.41.0), dplyr, akima, fields, vegan, GO.db, AnnotationDbi, Rtsne (>= 0.13), nipals, reshape, magick, umap
Reverse dependencies
Depends On Me (2): bandle, pRolocGUI
Suggests Me (3): MSnbase, pRolocdata, RforProteomics