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16:00
17:00
›9:45 (15min)
9:45 - 10:00 (15min)
Introduction
Animation LEGO
›10:00 (45min)
10:00 - 10:45 (45min)
Keynote 1: Graph-based deep learning approaches for phenotype prediction
Céline Brouard
›10:45 (30min)
10:45 - 11:15 (30min)
Discussing gene selection methods based on gene expression data
Myriam Bontonou
›11:15 (30min)
11:15 - 11:45 (30min)
Pause café
›11:45 (30min)
11:45 - 12:15 (30min)
AttOmics: Attention-based architecture for diagnosis and prognosis from Omics data
Aurélien Beaude
›12:15 (30min)
12:15 - 12:45 (30min)
Optimizing data integration improves Gene Regulatory Network inference in Arabidopsis thaliana
Océane Cassan
›12:45 (1h45)
12:45 - 14:30 (1h45)
Déjeuner et Posters
›14:30 (45min)
14:30 - 15:15 (45min)
Keynote 2: RNA riboswiches: from evolution to design
Simona Cocco
›15:15 (30min)
15:15 - 15:45 (30min)
Towards creating longer genetic sequences with GANs: Generation in principal component space
Antoine Szatkownik
›15:45 (30min)
15:45 - 16:15 (30min)
Pause café
›16:15 (30min)
16:15 - 16:45 (30min)
Guided by an Expert Teacher: Accurate and blazingly fast variant effect prediction using protein language model embeddings
Marina Abakarova
›16:45 (30min)
16:45 - 17:15 (30min)
Disentangling Cellular Heterogeneity with Multimodal single-cell Integration
Jules Samaran
