To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("pRoloc")
In most cases, you don't need to download the package archive at all.
This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see pRoloc.
Bioconductor version: 3.2
This package implements pattern recognition techniques on quantitiative mass spectrometry data to 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")
A transfer learning algorithm for spatial proteomics | ||
HUPO 2011 poster: pRoloc -- A unifying bioinformatics framework for organelle proteomics | ||
HUPO 2014 poster: A state-of-the-art machine learning pipeline for the analysis of spatial proteomics data | ||
Machine learning techniques available in pRoloc | ||
pRoloc tutorial | ||
Reference Manual | ||
Text | README | |
Text | NEWS | |
Video | pRoloc, pRolocdata and pRolocGUI |
biocViews | Classification, Clustering, MassSpectrometry, Proteomics, QualityControl, Software |
Version | 1.10.3 |
In Bioconductor since | BioC 2.12 (R-3.0) (3 years) |
License | GPL-2 |
Depends | R (>= 2.15), MSnbase(>= 1.17.1), 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 |
LinkingTo | Rcpp, RcppArmadillo |
Suggests | testthat, pRolocdata(>= 1.5.8), roxygen2, synapter, xtable, tsne, BiocStyle, hpar, 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 |
Follow Installation instructions to use this package in your R session.
Package Source | pRoloc_1.10.3.tar.gz |
Windows Binary | pRoloc_1.10.3.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | pRoloc_1.10.0.tgz |
Mac OS X 10.9 (Mavericks) | pRoloc_1.10.3.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/pRoloc/tree/release-3.2 |
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: