Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Ivan Ferrari [aut] (<https://orcid.org/0000-0003-3746-4143>), Riccardo L. Rossi [aut, cre] (<https://orcid.org/0000-0002-4964-3264>), Saveria Mazzara [aut] (<https://orcid.org/0000-0003-1799-2360>), Mauro Bombaci [ccp, ctb, dtc] (<https://orcid.org/0000-0002-9887-4165>) |
| Maintainer | Riccardo L. Rossi <ric.rossi@gmail.com> |
| 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 CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the combiroc package in your browser
Any scripts or data that you put into this service are public.
