PrInCE
Predicting Interactomes from Co-Elution
Bioconductor version: 3.23 · Package version: 1.28.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("PrInCE")Details
| Maintainer | Michael Skinnider <michael.skinnider@msl.ubc.ca> |
| Author | Michael Skinnider [aut, trl, cre], R. Greg Stacey [ctb], Nichollas Scott [ctb], Anders Kristensen [ctb], Leonard Foster [aut, led] |
| License | GPL-3 + file LICENSE |
| Bug Reports | https://github.com/fosterlab/PrInCE/issues |
| Downloads rank | 424 |
| Source branch | RELEASE_3_23 |
| biocViews | NetworkInference, Proteomics, Software, SystemsBiology |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | PrInCE_1.28.0.tar.gz |
| Windows binary (x86_64) | PrInCE_1.28.0.zip |
| macOS binary (arm64) | PrInCE_1.28.0.tgz |
| macOS binary (x86_64) | PrInCE_1.28.0.tgz |
Dependencies
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)