Package: pRoloc
Type: Package
Title: A unifying bioinformatics framework for spatial proteomics
Version: 1.4.0
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), 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
LinkingTo: Rcpp, RcppArmadillo
License: GPL-2
VignetteBuilder: knitr
biocViews: Proteomics, MassSpectrometry, Classification, Clustering
Packaged: 2014-06-24 03:13:55 UTC; biocbuild
Built: R 3.1.0; x86_64-apple-darwin13.1.0; 2014-06-24 09:57:57 UTC; unix
