We propose a novel R package, called COSMONET (COx Survival Methods based On NETworks), which implements (a) three different screening techniques to reduce the initial dimension of the data from a high-dimensional space to a moderate scale, (b) a network-regularized Cox-regression algorithm to select the gene signatures, (c) various approaches to calculate an optimal cut-off on the prognostic index (PI) in order to divide the patients in high- and low-risk group and (d) a prediction analysis for patients’ risk based on the evaluation of PIs.

Dr Antonella Iuliano
Istitution: Dipartimento di Matematica Informatica ed Economia (DIMIE), UniversitĂ  degli Studi della Basilicata, Potenza, Italy
Email: antonella.iuliano@unibas.it
Dr Annalisa Occhipinti
Istitution: School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, UK
Email: A.Occhipinti@tees.ac.uk