Package: pRoloc
Type: Package
Title: A unifying bioinformatics framework for spatial proteomics
Version: 1.2.1
Authors@R: c(person(given = "Laurent", family = "Gatto",
	            email = "lg390@cam.ac.uk", 
                    role = c("aut","cre")),
             person(given = "Lisa", family ="Breckels",
                    email = "lms79@cam.ac.uk",
                    role = "aut"),
             person(given = "Samuel", family =" Wieczorek",
                    email = "samuel.wieczorek@cea.fr",
                    role = "ctb"))
Author: Laurent Gatto and Lisa M. Breckels with contributions
	from Thomas Burger and Samuel Wieczorek
Maintainer: Laurent Gatto <lg390@cam.ac.uk>
Description: This package implements pattern recognition
	     techniques on quantitiative mass spectrometry data to
	     infer protein sub-cellular localisation.
Depends: R (>= 2.15), MSnbase (>= 1.7.23), MLInterfaces (>= 1.37.1),
        methods, Rcpp (>= 0.10.3)
Imports: mclust, MSBVAR, caret, e1071, sampling, class, kernlab,
        lattice, nnet, randomForest, proxy, FNN, BiocGenerics, stats4,
        RColorBrewer, scales, MASS, knitr
Suggests: testthat, pRolocdata, roxygen2, synapter, xtable
LinkingTo: Rcpp, RcppArmadillo
License: GPL-2
VignetteBuilder: knitr
biocViews: Bioinformatics, Proteomics, MassSpectrometry,
        Classification, Clustering
Packaged: 2014-02-05 09:33:31 UTC; biocbuild
Built: R 3.0.2; i386-w64-mingw32; 2014-02-05 16:18:48 UTC; windows
Archs: i386, x64
