PrInCE

DOI: 10.18129/B9.bioc.PrInCE    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see PrInCE.

Predicting Interactomes from Co-Elution

Bioconductor version: 3.12

PrInCE (Predicting Interactomes from Co-Elution) uses a naive Bayes classifier trained on dataset-derived features to recover protein-protein interactions from co-elution chromatogram profiles. This package contains the R implementation of PrInCE.

Author: Michael Skinnider [aut, trl, cre], R. Greg Stacey [ctb], Nichollas Scott [ctb], Anders Kristensen [ctb], Leonard Foster [aut, led]

Maintainer: Michael Skinnider <michael.skinnider at msl.ubc.ca>

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

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("PrInCE")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("PrInCE")

 

HTML R Script Interactome reconstruction from co-elution data with PrInCE
PDF   Reference Manual
Text   LICENSE

Details

biocViews NetworkInference, Proteomics, Software, SystemsBiology
Version 1.6.0
In Bioconductor since BioC 3.9 (R-3.6) (2 years)
License GPL-3 + file LICENSE
Depends R (>= 3.6.0)
Imports purrr (>= 0.2.4), dplyr (>= 0.7.4), tidyr (>= 0.8.99), forecast (>= 8.2), progress (>= 1.1.2), Hmisc (>= 4.0), naivebayes (>= 0.9.1), robustbase (>= 0.92-7), ranger (>= 0.8.0), LiblineaR (>= 2.10-8), speedglm (>= 0.3-2), tester (>= 0.1.7), magrittr (>= 1.5), Biobase(>= 2.40.0), MSnbase(>= 2.8.3), stats, utils, methods, Rdpack (>= 0.7)
LinkingTo
Suggests BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL
BugReports https://github.com/fosterlab/PrInCE/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package PrInCE_1.6.0.tar.gz
Windows Binary PrInCE_1.6.0.zip
macOS 10.13 (High Sierra) PrInCE_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/PrInCE
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/PrInCE
Package Short Url https://bioconductor.org/packages/PrInCE/
Package Downloads Report Download Stats

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