fosterlab/PrInCE: Predicting Interactomes from Co-Elution

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.

Getting started

Package details

Bioconductor views NetworkInference Proteomics SystemsBiology
Maintainer
LicenseGPL-3 + file LICENSE
Version1.7.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("fosterlab/PrInCE")
fosterlab/PrInCE documentation built on Dec. 13, 2020, 5:50 a.m.