This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see pRoloc.
Bioconductor version: 3.7
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("pRoloc")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pRoloc")
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 |
Reference Manual | ||
Text | NEWS | |
Video | pRoloc, pRolocdata and pRolocGUI |
biocViews | Classification, Clustering, MassSpectrometry, Proteomics, QualityControl, Software |
Version | 1.20.2 |
In Bioconductor since | BioC 2.12 (R-3.0) (5.5 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, 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, Rtsne (>= 0.13), nipals |
SystemRequirements | |
Enhances | |
URL | https://github.com/lgatto/pRoloc |
BugReports | https://github.com/lgatto/pRoloc/issues |
Depends On Me | pRolocGUI, proteomics |
Imports Me | |
Suggests Me | MSnbase, pRolocdata, RforProteomics |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | pRoloc_1.20.2.tar.gz |
Windows Binary | pRoloc_1.20.2.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | pRoloc_1.20.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/pRoloc |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pRoloc |
Package Short Url | http://bioconductor.org/packages/pRoloc/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: