107 citations · 419 across the 22 of their papers we have counts for
3 papers · 1 filter
Algorithmic Methods to Infer the Evolutionary Trajectories in Cancer Progression
Giulio Caravagna, Alex Graudenzi, Daniele Ramazzotti +6
The genomic evolution inherent to cancer relates directly to a renewed focus on the voluminous next generation sequencing (NGS) data, and machine learning for the inference of expl…
TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data
Luca De Sano, Giulio Caravagna, Daniele Ramazzotti +4
Motivation: We introduce TRONCO (TRanslational ONCOlogy), an open-source R package that implements the state-of-the-art algorithms for the inference of cancer progression models fr…
CABeRNET: a Cytoscape app for Augmented Boolean models of gene Regulatory NETworks
Andrea Paroni, Alex Graudenzi, Giulio Caravagna +3
Background. Dynamical models of gene regulatory networks (GRNs) are highly effective in describing complex biological phenomena and processes, such as cell differentiation and canc…