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: Release (3.5)

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 transfer learning algorithm for spatial proteomics
PDF	R Script	HUPO 2011 poster: pRoloc -- A unifying bioinformatics framework for organelle proteomics
PDF	R Script	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
HTML	R Script	Annotating spatial proteomics data
PDF		Reference Manual
Text		NEWS
Video		pRoloc, pRolocdata and pRolocGUI

biocViews	Classification, Clustering, MassSpectrometry, Proteomics, QualityControl, Software
Version	1.16.1
In Bioconductor since	BioC 2.12 (R-3.0) (4.5 years)
License	GPL-2
Depends	R (>= 2.15), MSnbase(>= 1.19.20), 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, hexbin, BiocGenerics, stats, dendextend, RColorBrewer, scales, MASS, knitr, mvtnorm, gtools, plyr, ggplot2, biomaRt, utils, grDevices, graphics
LinkingTo	Rcpp, RcppArmadillo
Suggests	testthat, rmarkdown, pRolocdata(>= 1.9.4), roxygen2, synapter, xtable, Rtsne, rgl, BiocStyle, hpar(>= 1.15.3), 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.

Source Package	pRoloc_1.16.1.tar.gz
Windows Binary	pRoloc_1.16.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	pRoloc_1.16.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/pRoloc
Package Short Url	http://bioconductor.org/packages/pRoloc/
Package Downloads Report	Download Stats

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