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 
[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://github.com/ingmbioinfo/combiroc |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README |
| CRAN checks: |
combiroc results |