pRoloc

DOI: 10.18129/B9.bioc.pRoloc    

A unifying bioinformatics framework for spatial proteomics

Bioconductor version: Release (3.6)

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.

Author: Laurent Gatto and Lisa M. Breckels with contributions from Thomas Burger and Samuel Wieczorek

Maintainer: Laurent Gatto <lg390 at cam.ac.uk>

Citation (from within R, enter citation("pRoloc")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pRoloc")

Documentation

HTML R Script A transfer learning algorithm for spatial proteomics
HTML R Script Annotating spatial proteomics data
HTML R Script Machine learning techniques available in pRoloc
HTML R Script Using pRoloc for spatial proteomics data analysis
PDF   Reference Manual
Text   NEWS
Video   pRoloc, pRolocdata and pRolocGUI

Details

biocViews Classification, Clustering, MassSpectrometry, Proteomics, QualityControl, Software
Version 1.18.0
In Bioconductor since BioC 2.12 (R-3.0) (5 years)
License GPL-2
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
LinkingTo Rcpp, RcppArmadillo
Suggests testthat, rmarkdown, pRolocdata(>= 1.9.4), roxygen2, synapter, xtable, rgl, BiocStyle(>= 2.5.19), hpar(>= 1.15.3), dplyr, GO.db, AnnotationDbi
SystemRequirements
Enhances
URL https://github.com/lgatto/pRoloc
BugReports https://github.com/lgatto/pRoloc/issues
Depends On Me pRolocGUI
Imports Me
Suggests Me MSnbase, pRolocdata, RforProteomics
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package pRoloc_1.18.0.tar.gz
Windows Binary pRoloc_1.18.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) pRoloc_1.18.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/pRoloc
Package Short Url http://bioconductor.org/packages/pRoloc/
Package Downloads Report Download Stats

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