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A unifying bioinformatics framework for spatial proteomics

Bioconductor version: Release (3.2)

This package implements pattern recognition techniques on quantitiative mass spectrometry data to 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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PDF A transfer learning algorithm for spatial proteomics
PDF HUPO 2011 poster: pRoloc -- A unifying bioinformatics framework for organelle proteomics
PDF HUPO 2014 poster: A state-of-the-art machine learning pipeline for the analysis of spatial proteomics data
PDF Machine learning techniques available in pRoloc
PDF pRoloc tutorial
PDF   Reference Manual
Text   NEWS
Video   pRoloc, pRolocdata and pRolocGUI


biocViews Classification, Clustering, MassSpectrometry, Proteomics, QualityControl, Software
Version 1.10.0
In Bioconductor since BioC 2.12 (R-3.0) (2.5 years)
License GPL-2
Depends R (>= 2.15), MSnbase(>= 1.17.1), 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, BiocGenerics, stats, RColorBrewer, scales, MASS, knitr, mvtnorm, gtools, plyr, ggplot2, biomaRt
LinkingTo Rcpp, RcppArmadillo
Suggests testthat, pRolocdata(>= 1.5.8), roxygen2, synapter, xtable, tsne, BiocStyle, hpar, dplyr, GO.db, AnnotationDbi
Depends On Me pRolocGUI
Imports Me
Suggests Me MSnbase, pRolocdata, RforProteomics
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