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Showing content from https://bioconductor.org/packages/devel/bioc/html/../../bioc/html/../../bioc/html/PrInCE.html below:

Bioconductor - PrInCE (development version)

PrInCE

This is the development version of PrInCE; for the stable release version, see PrInCE.

Predicting Interactomes from Co-Elution

Bioconductor version: Development (3.22)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Interactome reconstruction from co-elution data with PrInCE HTML R Script Reference Manual PDF LICENSE Text Details biocViews NetworkInference, Proteomics, Software, SystemsBiology Version 1.25.0 In Bioconductor since BioC 3.9 (R-3.6) (6 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) System Requirements URL Bug Reports https://github.com/fosterlab/PrInCE/issues See More Package Archives

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

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