Complex Graphical Models for Biological Network Science


My picture

Project Description

This project concerns the development of novel principled statistical tools for the analysis of complex networks under non-standard experimental setups.

The methodological innovations are achieved with this proposal are as follows:

  • Development of multiple, paired, and covariate-dependent graphical models for heterogeneous networks;
  • Development of single and multiple graphical models for causal inference based on observational and interventional data;
  • Development of graphical models for non-normal and censored random variables.

This projects is developed by the collaborative efforts of four research units based at the University of Florence (UNIFI), Università Cattolica del Sacro Cuore, (UCSC), University of Padova (UNIPD), and University of Palermo (UNIPA).

Principal Investigator

Local Coordinators

Avatar

Alberto Roverato

Full Professor

Avatar

Luigi Augugliaro

Full Professor

Avatar

Guido Consonni

Full Professor

University of Florence

Avatar

Anna Gottard

Associate Professor

Avatar

Luca La Rocca

Associate Professor

Avatar

Monia Lupparelli

Associate Professor

Avatar

Agnese Panzera

Associate Professor

Avatar

Giovanni Poli

PhD Student

University of Padua

Avatar

Alberto Roverato

Full Professor

Avatar

Mauro Bernardi

Associate Professor

Avatar

Manuela Cattelan

Associate Professor

Avatar

Veronica Vinciotti

Associate Professor

Avatar

Nicolas Bianco

Postdoctoral Researcher

Avatar

Cristian Castiglione

Postdoctoral Researcher

Avatar

Dung Ngoc Nguyen

Postdoctoral Researcher

Università Cattolica del Sacro Cuore

Avatar

Guido Consonni

Full Professor

Avatar

Lucia Paci

Associate Professor

Avatar

Stefano Peluso

Associate Professor

Avatar

Federico Castelletti

Assistant Professor

Avatar

Francesco Denti

Assistant Professor

University of Palermo

Avatar

Luigi Augugliaro

Full Professor

Avatar

Angelo M. Mineo

Full Professor

Avatar

Antonino Abbruzzo

Associate Professor

Avatar

Chiara Di Maria

Assistant Professor

Avatar

Rita Fici

PhD Student