Bioconductor 3.22 Released

pRoloc

This is the development version of pRoloc; for the stable release version, see pRoloc.

A unifying bioinformatics framework for spatial proteomics


Bioconductor version: Development (3.23)

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")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("pRoloc")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF
pRoloc, pRolocdata and pRolocGUI Video

Details

biocViews Classification, Clustering, ImmunoOncology, MassSpectrometry, Proteomics, QualityControl, Software
Version 1.49.3
In Bioconductor since BioC 2.12 (R-3.0) (12.5 years)
License GPL-2
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
System Requirements
URL https://github.com/lgatto/pRoloc
Bug Reports https://github.com/lgatto/pRoloc/issues
See More
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
Linking To Rcpp, RcppArmadillo
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/pRoloc
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/pRoloc
Package Short Url https://bioconductor.org/packages/pRoloc/
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