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pRoloc : A unifying bioinformatics framework for spatial proteomics

Package: pRoloc
Type: Package
Title: A unifying bioinformatics framework for spatial proteomics
Version: 1.12.4
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 (>= 1.19.20), 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, utils, grDevices, graphics
Suggests: testthat, pRolocdata (>= 1.9.4), roxygen2, synapter, xtable,
tsne, BiocStyle, hpar, 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
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
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-06-15 03:40:44 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Classification, Clustering, MassSpectrometry, Proteomics, QualityControl
108 images, 71 functions, 0 datasets
Reverse Depends: 1