Search Results for author: Giulio Caravagna

Found 7 papers, 4 papers with code

Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data

1 code implementation4 Sep 2017 Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna

Compared to other tools, TRaIT supports multi-region and single-cell sequencing data within the same statistical framework, and delivers expressive models that capture many complex evolutionary phenomena.

Learning the structure of Bayesian Networks via the bootstrap

1 code implementation7 Jun 2017 Giulio Caravagna, Daniele Ramazzotti

Learning the structure of dependencies among multiple random variables is a problem of considerable theoretical and practical interest.

cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models

2 code implementations8 May 2017 Lucrezia Patruno, Edoardo Galimberti, Daniele Ramazzotti, Giulio Caravagna, Luca De Sano, Marco Antoniotti, Alex Graudenzi

cyTRON was developed in Java; the code is available at https://github. com/BIMIB-DISCo/cyTRON and on the Cytoscape App Store http://apps. cytoscape. org/apps/cytron.

Matching models across abstraction levels with Gaussian Processes

no code implementations7 May 2016 Giulio Caravagna, Luca Bortolussi, Guido Sanguinetti

Biological systems are often modelled at different levels of abstraction depending on the particular aims/resources of a study.

Gaussian Processes

Modeling cumulative biological phenomena with Suppes-Bayes Causal Networks

no code implementations25 Feb 2016 Daniele Ramazzotti, Alex Graudenzi, Giulio Caravagna, Marco Antoniotti

Several diseases related to cell proliferation are characterized by the accumulation of somatic DNA changes, with respect to wildtype conditions.

Bayesian Inference Model Selection

PMCE: efficient inference of expressive models of cancer evolution with high prognostic power

2 code implementations26 Aug 2014 Fabrizio Angaroni, Kevin Chen, Chiara Damiani, Giulio Caravagna, Alex Graudenzi, Daniele Ramazzotti

Motivation: Driver (epi)genomic alterations underlie the positive selection of cancer subpopulations, which promotes drug resistance and relapse.

Proceedings Wivace 2013 - Italian Workshop on Artificial Life and Evolutionary Computation

no code implementations27 Sep 2013 Alex Graudenzi, Giulio Caravagna, Giancarlo Mauri, Marco Antoniotti

The Wivace 2013 Electronic Proceedings in Theoretical Computer Science (EPTCS) contain some selected long and short articles accepted for the presentation at Wivace 2013 - Italian Workshop on Artificial Life and Evolutionary Computation, which was held at the University of Milan-Bicocca, Milan, on the 1st and 2nd of July, 2013.

Artificial Life

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