MACP: Macromolecular Assemblies from Co-Elution Profile (MACP)

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>
License: BSD_3_clause + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: MACP results


Reference manual: MACP.pdf
Vignettes: Introduction to *MACP* package for Macromolecular Assemblies from Co-elution Profile (MACP)


Package source: MACP_0.1.0.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): MACP_0.1.0.tgz, r-release (arm64): MACP_0.1.0.tgz, r-oldrel (arm64): MACP_0.1.0.tgz, r-prerel (x86_64): MACP_0.1.0.tgz, r-release (x86_64): MACP_0.1.0.tgz


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