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combiroc  

Selection and Ranking of Omics Biomarkers Combinations Made Easy
View on CRAN: Click here


Download and install combiroc package within the R console
Install from CRAN:
install.packages("combiroc")

Install from Github:
library("remotes")
install_github("cran/combiroc")

Install by package version:
library("remotes")
install_version("combiroc", "0.3.4")



Attach the package and use:
library("combiroc")
Maintained by
Riccardo L. Rossi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-17
Latest Update: 2023-07-06
Description:
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) and further described in Bombaci & Rossi (2019) , and widely expanded as a package as presented in the bioRxiv pre print Ferrari et al. .
How to cite:
Riccardo L. Rossi (2021). combiroc: Selection and Ranking of Omics Biomarkers Combinations Made Easy. R package version 0.3.4, https://cran.r-project.org/web/packages/combiroc
Previous versions and publish date:
0.2.3 (2021-08-17 08:40)
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