Skip to content
COSMONET: A R package for survival analysis using screening-network methods
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.


We propose new multistage computational-statistical strategies based on screening-network methods that predict patient survival outcome by screening key survival-related genes [1,2]. In particular, we use: (i) screening approaches to reduce the initial dimension from an high-dimensional space p to a moderate scale d; (ii) Cox-regression model for describing the relationship between patient survival times and predictor variables; (iii) network-penalized Cox-regression approaches to model observed survival time through genome-wide omic profiles while accounting for coordinated functioning of genes in the form of biological pathways or networks.


[1] Iuliano et al. (2018). Combining pathway identification and breast cancer survival prediction via screening-network methods. Frontiers in genetics, 9.

[2] Iuliano et al. (2016). Cancer markers selection using network-based Cox regression: A methodological and computational practice. Frontiers in physiology, 7, 208.

You can’t perform that action at this time.