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 2.12 of Bioconductor; for the stable, up-to-date release version, see pRoloc.

A unifying bioinformatics framework for spatial proteomics

Bioconductor version: 2.12

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")

biocViews	Software
Version	1.0.1
In Bioconductor since	BioC 2.12 (R-3.0) (3 years)
License	GPL-2
Depends	R (>= 2.15), MSnbase(>= 1.7.23), MLInterfaces(>= 1.37.1), methods
Imports	mclust, MSBVAR, caret, e1071, sampling, class, kernlab, lattice, nnet, randomForest, proxy, BiocGenerics, stats4, RColorBrewer, scales, MASS, knitr
LinkingTo
Suggests	testthat, pRolocdata, roxygen2
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	pRolocdata
Build Report

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

Package Source	pRoloc_1.0.1.tar.gz
Windows Binary	pRoloc_1.0.1.zip
Mac OS X 10.6 (Snow Leopard)	pRoloc_1.0.1.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/pRoloc/tree/release-2.12
Package Short Url	http://bioconductor.org/packages/pRoloc/
Package Downloads Report	Download Stats

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