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

This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see pRoloc.

A unifying bioinformatics framework for spatial proteomics

Bioconductor version: 3.0

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	R Script	A state-of-the-art machine learning pipeline for the analysis of spatial proteomics data
PDF	R Script	Machine learning techniques available in pRoloc
PDF	R Script	pRoloc -- A unifying bioinformatics framework for organelle proteomics
PDF	R Script	pRoloc tutorial
PDF		Reference Manual
Text		README
Text		NEWS
Video		pRoloc, pRolocdata and pRolocGUI

biocViews	Classification, Clustering, MassSpectrometry, Proteomics, QualityControl, Software
Version	1.6.2
In Bioconductor since	BioC 2.12 (R-3.0) (3 years)
License	GPL-2
Depends	R (>= 2.15), MSnbase(>= 1.13.3), MLInterfaces(>= 1.37.1), methods, Rcpp (>= 0.10.3), BiocParallel
Imports	mclust (>= 4.3), caret, e1071, sampling, class, kernlab, lattice, nnet, randomForest, proxy, FNN, BiocGenerics, stats, RColorBrewer, scales, MASS, knitr, mvtnorm
LinkingTo	Rcpp, RcppArmadillo
Suggests	testthat, pRolocdata, roxygen2, synapter, xtable
SystemRequirements
Enhances
URL
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_1.6.2.tar.gz
Windows Binary	pRoloc_1.6.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	pRoloc_1.6.2.tgz
Mac OS X 10.9 (Mavericks)	pRoloc_1.6.2.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/pRoloc/tree/release-3.0
Package Short Url	http://bioconductor.org/packages/pRoloc/
Package Downloads Report	Download Stats

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