Package: pRoloc Type: Package Title: A unifying bioinformatics framework for spatial proteomics Version: 1.53.0 Authors@R: c(person(given = "Laurent", family = "Gatto", email = "laurent.gatto@uclouvain.be", role = "aut"), person(given = "Lisa", family ="Breckels", email = "lms79@cam.ac.uk", role = c("aut", "cre")), person(given = "Thomas", family ="Burger", email = "Thomas.BURGER@cea.fr", role = "ctb"), person(given = "Samuel", family ="Wieczorek", email = "samuel.wieczorek@cea.fr", role = "ctb"), person(given = "Charlotte", family ="Hutchings", email = "ch941@cam.ac.uk", role = "ctb"), person(given = "Oliver", family ="Crook", email = "oliver.crook@stats.ox.ac.uk", role = "aut")) Description: 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. 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 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 LinkingTo: Rcpp, RcppArmadillo License: GPL-2 VignetteBuilder: knitr Video: https://www.youtube.com/playlist?list=PLvIXxpatSLA2loV5Srs2VBpJIYUlVJ4ow URL: https://github.com/lgatto/pRoloc BugReports: https://github.com/lgatto/pRoloc/issues biocViews: ImmunoOncology, Proteomics, MassSpectrometry, Classification, Clustering, QualityControl Collate: AllGenerics.R machinelearning-framework.R machinelearning-framework-theta.R machinelearning-framework-map.R machinelearning-framework-mcmc.R machinelearning-utils.R machinelearning-functions-knn.R machinelearning-functions-ksvm.R machinelearning-functions-nb.R machinelearning-functions-nnet.R machinelearning-functions-PerTurbo.R machinelearning-functions-plsda.R machinelearning-functions-rf.R machinelearning-functions-svm.R machinelearning-functions-knntl.R machinelearning-functions-tagm-map.R machinelearning-functions-tagm-mcmc.R machinelearning-functions-tagm-mcmc-helper.R RcppExports.R belief.R distances.R markers.R pRolocmarkers.R chi2.R MLInterfaces.R clustering-framework.R MSnSet.R clustering-kmeans.R perTurbo-algorithm.R phenodisco.R plotting.R plotting2.R plotting3.R plottingBayes.R plotting-ellipse.R hclust.R environment.R utils.R annotation.R goenv.R go.R makeGoSet.R vis.R MartInterface.R dynamics.R zzz.R goannotations.R clusterdist-functions.R clusterdist-framework.R qsep.R RoxygenNote: 7.3.2 Encoding: UTF-8 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev libnetcdf-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:37:06 UTC RemoteUrl: https://github.com/bioc/pRoloc RemoteRef: HEAD RemoteSha: 7dc07831012b97823ffa5d5285917d0c98befee1 NeedsCompilation: yes Packaged: 2026-06-23 16:14:49 UTC; root Author: Laurent Gatto [aut], Lisa Breckels [aut, cre], Thomas Burger [ctb], Samuel Wieczorek [ctb], Charlotte Hutchings [ctb], Oliver Crook [aut] Maintainer: Lisa Breckels