Institut de Mathématiques de Marseille, UMR 7373




Rechercher


Accueil >

Sparse regression and optimization in high-dimensional framework for Gene Regulatory Network inference

Lundi 30 janvier 14:00-15:00 - Magali CHAMPION - Université Paris-Descartes

Sparse regression and optimization in high-dimensional framework for Gene Regulatory Network inference

Résumé : Gene regulatory networks (GRNs) are powerful tools to represent and analyse complex biological systems and enable the modelling of functional relationships between elements of these systems. In this talk, I will focus on theoretical analysis and the use of statistical and optimization methods in the context of GRN inference. The first part will be dedicated to the study of statistical learning methods to infer networks from sparse linear regressions in a high-dimensional setting. Then, I will present an optimization algorithm to directly estimate relationships in such networks. I will finally propose an application to cancer data.

JPEG - 15.6 ko
Magali CHAMPION

Lieu : FRUMAM, salle séminaire 3ème étage

Exporter cet événement

Pour en savoir plus sur cet événement, consultez l'article Séminaire Statistiques