Maria Francesca Marino

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
Modelling ordinal response to treatment in a real-world cohort study Author(s)  Marco Alfo'   Silvia D'Elia   Maria Francesca Marino

Contributed Session
Mixture Models
Chair: Federica Nicolussi (Università degli Studi di Milano Statale)
Discussant: Francesca Greselin (Università degli Studi di Milano Bicocca)
Room: T30
Floor: ground

Paper
An extension of finite mixtures of latent trait analyzers for biclustering bipartite networks Author(s)  Dalila Failli   Maria Francesca Marino   Francesca Martella