Package: pRoloc
Type: Package
Title: A unifying bioinformatics framework for spatial proteomics
Version: 1.18.0
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: The pRoloc package implements machine learning and
	     visualisation methods for the analysis and interogation
	     of quantitiative mass spectrometry data to reliably infer
	     protein sub-cellular localisation.
Depends: R (>= 2.15), MSnbase (>= 1.19.20), MLInterfaces (>= 1.37.1),
        methods, Rcpp (>= 0.10.3), BiocParallel
Imports: Biobase, mclust (>= 4.3), caret, e1071, sampling, class,
        kernlab, Rtsne (>= 0.13), lattice, nnet, randomForest, proxy,
        FNN, hexbin, BiocGenerics, stats, dendextend, RColorBrewer,
        scales, MASS, knitr, mvtnorm, gtools, plyr, ggplot2, biomaRt,
        utils, grDevices, graphics
Suggests: testthat, rmarkdown, pRolocdata (>= 1.9.4), roxygen2,
        synapter, xtable, rgl, BiocStyle (>= 2.5.19), hpar (>= 1.15.3),
        dplyr, GO.db, AnnotationDbi
LinkingTo: Rcpp, RcppArmadillo
License: GPL-2
VignetteBuilder: knitr
Video:
        https://www.youtube.com/playlist?list=PLvIXxpatSLA2loV5Srs2VBpJIYUlVJ4ow
URL: https://github.com/lgatto/pRoloc
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 pRolocmarkers.R chi2.R MLInterfaces.R
        clustering-framework.R MSnSet.R clustering-kmeans.R
        perTurbo-algorithm.R phenodisco.R plotting.R plotting2.R
        plotting3.R hclust.R environment.R utils.R lopims.R
        annotation.R goenv.R go.R makeGoSet.R vis.R MartInterface.R
        dynamics.R zzz.R goannotations.R clusterdist-functions.R
        clusterdist-framework.R qsep.R
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-10-31 00:35:18 UTC; biocbuild
Built: R 3.4.2; i386-w64-mingw32; 2017-10-31 07:09:58 UTC; windows
Archs: i386, x64
