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. The method used was first published as a Shiny app and described in Mazzara et al. (2017) and further described in Bombaci & Rossi (2019) .


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install.packages("combiroc")

0.2.3 by Riccardo L. Rossi, a month ago


https://github.com/ingmbioinfo/combiroc


Report a bug at https://github.com/ingmbioinfo/combiroc/issues


Browse source code at https://github.com/cran/combiroc


Authors: Ivan Ferrari [aut] , Riccardo L. Rossi [aut, cre] , Saveria Mazzara [aut] , Mauro Bombaci [ccp, ctb, dtc]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports tidyr, dplyr, ggplot2, gtools, pROC, stringr, stats, utils, moments, devtools

Suggests testthat, knitr, markdown, rmarkdown, covr


See at CRAN