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 3.2 of Bioconductor; for the stable, up-to-date release version, see 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")):

Installation

To install this package, start R and enter:

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

Documentation

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

Details

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
LinkingTo Rcpp, RcppArmadillo
SystemRequirements
Enhances
Depends On Me pRolocGUI
Imports Me

Package Archives

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
Package Downloads Report Download Stats

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