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>.">

combiroc: Selection and Ranking of Omics Biomarkers Combinations Made Easy (original) (raw)

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 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
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

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