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Predicting Interactomes from Co-Elution

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

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


biocViews NetworkInference, Proteomics, Software, SystemsBiology
Version 1.20.0
In Bioconductor since BioC 3.9 (R-3.6) (5 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)
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Source Package PrInCE_1.20.0.tar.gz
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macOS Binary (arm64) PrInCE_1.20.0.tgz
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