Dear all, we are glad to announce the following hybrid seminar

*March 19, 2024,  12:15 PM*

*Where*: Aula Delta 2C- edificio Zeta (Campus Scientifico), Via Torino, 155 Mestre (Venice, Italy)

Zoom: https://unive.zoom.us/j/85153268624?pwd=MzBhdlA2M1B2dThJQ2Y5T0EwUE5PZz09

*Speaker*: Andrea Cappozzo, Università degli Studi di Milano (Milano, Italy)

*Title*: Penalized mixed-effects multitask learning: a framework for regularizing multilevel models with applications on DNA methylation biomarkers creation

*Abstract:*

Linear mixed modeling is a well-established technique widely employed when observations possess a grouping structure. Nevertheless, this standard methodology is no longer applicable when the learning framework encompasses a multivariate response and high-dimensional predictors. To overcome these issues, a penalized estimation scheme based on an expectation-maximization (EM) algorithm is proposed, in which any penalty criteria previously devised for fixed-effects models can be conveniently incorporated into the fitting process. We employ the novel methodology for creating surrogate biomarkers of cardiovascular risk factors, such as lipids and blood pressure, from whole-genome DNA methylation data in a multi-center study. The proposed approach shows promising results in both predictive accuracy and bio-molecular interpretation compared to state-of-the-art alternatives.

Based on joint work with Francesca Ieva and Giovanni Fiorito.

Visit this page https://www.unive.it/pag/41970/ for updates on our seminars.

Best regards,

Carlo Gaetan