Programme

jeudi 23 novembre 2023

Heures événement  
09:45 - 10:00 Introduction - Animation LEGO  
10:00 - 10:45 Keynote 1: Graph-based deep learning approaches for phenotype prediction - Céline Brouard  
10:45 - 11:15 Discussing gene selection methods based on gene expression data - Myriam Bontonou  
11:15 - 11:45 Pause café  
11:45 - 12:15 AttOmics: Attention-based architecture for diagnosis and prognosis from Omics data - Aurélien Beaude  
12:15 - 12:45 Optimizing data integration improves Gene Regulatory Network inference in Arabidopsis thaliana - Océane Cassan  
12:45 - 14:30 Déjeuner et Posters  
14:30 - 15:15 Keynote 2: RNA riboswiches: from evolution to design - Simona Cocco  
15:15 - 15:45 Towards creating longer genetic sequences with GANs: Generation in principal component space - Antoine Szatkownik  
15:45 - 16:15 Pause café  
16:15 - 16:45 Guided by an Expert Teacher: Accurate and blazingly fast variant effect prediction using protein language model embeddings - Marina Abakarova  
16:45 - 17:15 Disentangling Cellular Heterogeneity with Multimodal single-cell Integration - Jules Samaran  
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