|
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 |
|
