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>.
| Package details | |
|---|---|
| Maintainer | |
| License | MIT + file LICENSE | 
| Version | 0.3.4 | 
| URL | https://doi.org/10.1101/2022.01.17.476603 https://github.com/ingmbioinfo/combiroc | 
| Package repository | View on GitHub | 
| Installation | Install the latest version of this package by entering the following in R:  | 
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