Alberto Roverato

Invited Session
Statistical Learning for health research and omics data
Organizer/Chair: Laura Anderlucci (Università di Bologna)
Discussant: Cinzia Viroli (Università di Bologna)
Room: T32
Floor: ground
Short summary: The session offers a broad overview of the different modelling issues arising in health and biological research. From the prediction of the ordinal response to treatment in a cohort study of thyroid cancer to the modelling of microbiome data via a structured finite mixture model that clusters patients sharing similar taxa compositions, to the application of symmetrical graphical lasso on functional MRI data for the identification of brain networks.

Paper
On the application of the symmetric graphical lasso for paired data Author(s)  Saverio Ranciati   Alberto Roverato