To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pRoloc")

In most cases, you don't need to download the package archive at all.

pRoloc

A unifying bioinformatics framework for spatial proteomics

Bioconductor version: 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 cam.ac.uk>

Citation (from within R, enter citation("pRoloc")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pRoloc")

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("pRoloc")

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		README
Text		NEWS
Video		pRoloc, pRolocdata and pRolocGUI

biocViews	Classification, Clustering, MassSpectrometry, Proteomics, QualityControl, Software
Version	1.10.3
In Bioconductor since	BioC 2.12 (R-3.0) (3 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
SystemRequirements
Enhances
URL	https://github.com/lgatto/pRoloc
BugReports	https://github.com/lgatto/pRoloc/issues
Depends On Me	pRolocGUI
Imports Me
Suggests Me	MSnbase, pRolocdata, RforProteomics
Build Report

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

Package Source	pRoloc_1.10.3.tar.gz
Windows Binary	pRoloc_1.10.3.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	pRoloc_1.10.0.tgz
Mac OS X 10.9 (Mavericks)	pRoloc_1.10.3.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/pRoloc/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/pRoloc/
Package Downloads Report	Download Stats