3 papers
q-bio.QM2018
Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions
Veronica Tozzo, Federico Tomasi, Margherita Squillario +1
Complex systems may contain heterogeneous types of variables that interact in a multi-level and multi-scale manner. In this context, high-level layers may considered as groups of v…
q-bio.MN2012
Evaluating sources of variability in pathway profiling
A. Barla, S. Riccadonna, S. Masecchia +4
A bioinformatics platform is introduced aimed at identifying models of disease-specific pathways, as well as a set of network measures that can quantify changes in terms of global…
q-bio.MN2011
A machine learning pipeline for discriminant pathways identification
Annalisa Barla, Giuseppe Jurman, Roberto Visintainer +4
Motivation: Identifying the molecular pathways more prone to disruption during a pathological process is a key task in network medicine and, more in general, in systems biology. Re…