pRoloc

A unifying bioinformatics framework for spatial proteomics

Bioconductor version: Release (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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("pRoloc")

biocViews	Software
Version	1.0.1
In Bioconductor since	BioC 2.13 (R-2.18)
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
Suggests	testthat, pRolocdata, roxygen2
System Requirements
URL
Depends On Me
Imports Me
Suggests Me	pRolocdata

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