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, 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
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

Documentation:

Reference manual:	combiroc.pdf
Vignettes:	Quick guide to CombiROC Single cell Combiroc tutorial

Downloads:

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

Linking:

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