AI / ML for the analysis of single-cell spatial transcriptomics

9:30 - 10:20 (50min)

Welcome Coffee

Learning Lab - BU science

10:20 - 10:30 (10min)

Openning and Welcome Speech

Salle de conférences - BU science

Hugues Berry

10:30 - 11:00 (30min)

Machine learning for integrative single-cell genomics

Salle de conférences - BU science

Laura Cantini, Pasteur Institute, Paris, France

11:00 - 12:00 (1h)

Kernel-based perturbation testing for single-cell data

Salle de conférences - BU science

Franck Picard, Ecole Normale Supérieure, Lyon, France

12:00 - 14:00 (2h)

Lunch

Domus Restaurant

14:00 - 14:30 (30min)

Statistical methods for spatial transcriptomics

Salle de conférences - BU science

Xiang Zhou, University of Michigan, Ann Arbor, USA

14:30 - 15:30 (1h)

Towards scalable and interactive pipelines for spatial biology

Salle de conférences - BU science

Yvan Saeys, Ghent University, Belgium

15:30 - 16:10 (40min)

Coffee break

Learning Lab - BU science

16:10 - 16:55 (45min)

Advances in Spatial Transcriptomics and Computational Approaches

Salle de conférences - BU science

Guillaume Marcy, Université Claude Bernard Lyon 1, France

16:55 - 17:40 (45min)

Hands-On Spatial Transcriptomics: from data to insight

Salle de conférences - BU science

Sergio Sarnataro, Ecole Normale Supérieure, Lyon, France