Package: pRoloc
Type: Package
Title: A unifying bioinformatics framework for spatial proteomics
Version: 1.6.2
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 (>= 1.13.3), MLInterfaces (>= 1.37.1),
        methods, Rcpp (>= 0.10.3), BiocParallel
Imports: mclust (>= 4.3), caret, e1071, sampling, class, kernlab,
        lattice, nnet, randomForest, proxy, FNN, BiocGenerics, stats,
        RColorBrewer, scales, MASS, knitr, mvtnorm
Suggests: testthat, pRolocdata, roxygen2, synapter, xtable
LinkingTo: Rcpp, RcppArmadillo
License: GPL-2
VignetteBuilder: knitr
Video:
        https://www.youtube.com/playlist?list=PLvIXxpatSLA2loV5Srs2VBpJIYUlVJ4ow
BugReports: https://github.com/lgatto/pRoloc/issues
biocViews: Proteomics, MassSpectrometry, Classification, Clustering,
        QualityControl
Packaged: 2015-03-22 04:02:13 UTC; biocbuild
Built: R 3.1.3; i386-w64-mingw32; 2015-03-22 11:27:01 UTC; windows
Archs: i386, x64
