Package: pRoloc
Type: Package
Title: A unifying bioinformatics framework for spatial proteomics
Version: 1.8.0
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 (>= 1.13.3), MLInterfaces (>= 1.37.1),
        methods, Rcpp (>= 0.10.3), BiocParallel
Imports: Biobase, mclust (>= 4.3), caret, e1071, sampling, class,
        kernlab, lattice, nnet, randomForest, proxy, FNN, BiocGenerics,
        stats, RColorBrewer, scales, MASS, knitr, mvtnorm, gtools,
        plyr, ggplot2, biomaRt
Suggests: testthat, pRolocdata (>= 1.5.8), roxygen2, synapter, xtable,
        tsne, BiocStyle, hpar, dplyr
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
Collate: AllGenerics.R machinelearning-framework.R
        machinelearning-framework-theta.R machinelearning-utils.R
        machinelearning-functions-knn.R
        machinelearning-functions-ksvm.R machinelearning-functions-nb.R
        machinelearning-functions-nnet.R
        machinelearning-functions-PerTurbo.R
        machinelearning-functions-plsda.R
        machinelearning-functions-rf.R machinelearning-functions-svm.R
        machinelearning-functions-knntl.R belief.R distances.R
        markers.R chi2.R MLInterfaces.R clustering-framework.R MSnSet.R
        clustering-kmeans.R perTurbo-algorithm.R data.R phenodisco.R
        plotting.R environment.R utils.R lopims.R annotation.R goenv.R
        makeGoSet.R zzz.R
NeedsCompilation: yes
Packaged: 2015-04-17 03:52:28 UTC; biocbuild
Built: R 3.2.0; x86_64-apple-darwin13.4.0; 2015-04-17 15:21:18 UTC; unix
