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source("http://bioconductor.org/biocLite.R")
biocLite("pRoloc")

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pRoloc

A unifying bioinformatics framework for spatial proteomics

Bioconductor version: 2.14

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:

source("http://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	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

biocViews	Classification, Clustering, MassSpectrometry, Proteomics, Software
Version	1.4.0
In Bioconductor since	BioC 2.12 (R-3.0)
License	GPL-2
Depends	R (>= 2.15), MSnbase(>= 1.7.23), MLInterfaces(>= 1.37.1), methods, Rcpp (>= 0.10.3), BiocParallel
Imports	mclust (>= 4.3), MSBVAR, caret, e1071, sampling, class, kernlab, lattice, nnet, randomForest, proxy, FNN, BiocGenerics, stats4, RColorBrewer, scales, MASS, knitr
Suggests	testthat, pRolocdata, roxygen2, synapter, xtable
System Requirements
URL
Depends On Me
Imports Me
Suggests Me	pRolocdata

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