Analyse de données multi-blocs avec `{RGCCA}`

Le groupe Biopuces et le réseau StateOftheR organisent le mardi 9 décembre 2025 de 9h30 à 12h30 un tutoriel donné par Arthur Tenenhaus, Laboratoire des Signaux et Systèmes, CentraleSupelec, Université Paris-Saclay

La séance aura lieu en mode hybride, à la fois sur le campus AgroParisSaclay et à distance.

Title: Multiblock data analysis with {RGCCA} package

Abstract:

Multiblock component methods are essential tools for exploring complex relationships between multiple sets of variables. Although various statistical methods and dedicated software for multiblock data analysis exist, Regularized Generalized Canonical Correlation Analysis (RGCCA) offers a unified and versatile framework that consolidates more than six decades of multiblock component methods. During this half-day practical session, we will present the RGCCA framework and the RGCCA package, which implements this framework and goes beyond by providing graphical outputs and statistical tools to assess the robustness and significance of the analysis. The usefulness of the RGCCA package will be illustrated through two real-world case studies. The package is freely available from the Comprehensive R Archive Network (CRAN) at https://CRAN.R-project.org/package=RGCCA and from GitHub at https://github.com/rgcca-factory/RGCCA.

Informations pratiques

Le tutoriel aura lieu sur le campus AgroParisSaclay, 22 place de l’agronomie à Palaiseau et à distance.