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, now also from single-cell RNA-seq datasets. 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>, and widely expanded as a package as presented in the bioRxiv pre print Ferrari et al. <doi:10.1101/2022.01.17.476603>.
Version: | 0.3.4 |
Depends: | R (≥ 3.5.0) |
Imports: | tidyr, dplyr, ggplot2, gtools, pROC, stringr, stats, utils, moments |
Suggests: | testthat (≥ 3.0.0), knitr, markdown, rmarkdown, httr, Seurat |
Published: | 2023-07-06 |
DOI: | 10.32614/CRAN.package.combiroc |
Author: | Ivan Ferrari [aut], Riccardo L. Rossi [aut, cre], Saveria Mazzara [aut], Mauro Bombaci [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://doi.org/10.1101/2022.01.17.476603, https://github.com/ingmbioinfo/combiroc |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | combiroc results |
Reference manual: | combiroc.pdf |
Vignettes: |
Quick guide to CombiROC Single cell Combiroc tutorial |
Package source: | combiroc_0.3.4.tar.gz |
Windows binaries: | r-devel: combiroc_0.3.4.zip, r-release: combiroc_0.3.4.zip, r-oldrel: combiroc_0.3.4.zip |
macOS binaries: | r-release (arm64): combiroc_0.3.4.tgz, r-oldrel (arm64): combiroc_0.3.4.tgz, r-release (x86_64): combiroc_0.3.4.tgz, r-oldrel (x86_64): combiroc_0.3.4.tgz |
Old sources: | combiroc archive |
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