The MACP employs machine learning algorithm for automated scoring
of co-fractionation mass spectrometry (CF-MS) and then systematically
map multi-protein complexes from these high-confidence protein-protein
interactions (PPIs) using unsupervised learning (i.e., clustering).
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1) |
| Imports: |
stats, zoo, utils, dplyr, lsa, WGCNA, tidyr, tibble, Hmisc, igraph, PRROC, pROC, ggplot2, grDevices, fmsb, stringr, caret |
| Suggests: |
knitr, ptw, e1071, kernlab, ranger, proxy, infotheo, gridExtra, philentropy, randomForest, gprofiler2, purrr, minet, entropy, MCL, orthogene, protti, arules, rmarkdown, BiocStyle |
| Published: |
2023-02-28 |
| Author: |
Matineh Rahmatbakhsh [aut, trl, cre],
Mohan Babu [led] |
| Maintainer: |
Matineh Rahmatbakhsh <matinerb.94 at gmail.com> |
| BugReports: |
https://github.com/mrbakhsh/MACP/issues |
| License: |
BSD_3_clause + file LICENSE |
| URL: |
https://github.com/mrbakhsh/MACP |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
MACP results |