combiroc: Selection and Ranking of Omics Biomarkers Combinations Made Easy

Provides functions and a workflow to easily and powerfully calculating specificity, sensitivity and ROC curves of biomarkers combinations. Allows to rank and select multi-markers signatures as well as to find the best performing sub-signatures. The method used was first published as a Shiny app and described in Mazzara et al. (2017) <doi:10.1038/srep45477> and further described in Bombaci & Rossi (2019) <doi:10.1007/978-1-4939-9164-8_16>.

Version: 0.2.3
Depends: R (≥ 2.10)
Imports: tidyr, dplyr, ggplot2, gtools, pROC, stringr, stats, utils, moments, devtools
Suggests: testthat (≥ 3.0.0), knitr, markdown, rmarkdown, covr
Published: 2021-08-17
Author: Ivan Ferrari ORCID iD [aut], Riccardo L. Rossi ORCID iD [aut, cre], Saveria Mazzara ORCID iD [aut], Mauro Bombaci ORCID iD [ccp, ctb, dtc]
Maintainer: Riccardo L. Rossi <ric.rossi at gmail.com>
BugReports: https://github.com/ingmbioinfo/combiroc/issues
License: MIT + file LICENSE
URL: https://github.com/ingmbioinfo/combiroc
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: combiroc results

Documentation:

Reference manual: combiroc.pdf
Vignettes: Quick guide to CombiROC

Downloads:

Package source: combiroc_0.2.3.tar.gz
Windows binaries: r-devel: combiroc_0.2.3.zip, r-release: combiroc_0.2.3.zip, r-oldrel: combiroc_0.2.3.zip
macOS binaries: r-release (arm64): combiroc_0.2.3.tgz, r-release (x86_64): combiroc_0.2.3.tgz, r-oldrel: combiroc_0.2.3.tgz

Linking:

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