Planning
Time |
Event |
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09:00 - 09:15
|
Introduction (Amphithéâtre Astier, bâtiment Esclangon) - Animation LEGO |
|
09:15 - 10:00
|
Keynote: Interpretable models in machine learning and their application in medicine (Amphithéâtre Astier, bâtiment Esclangon) - Nataliya Sokolovska |
|
10:00 - 10:30
|
The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics (Amphithéâtre Astier, bâtiment Esclangon) - Javier Mendoza Revilla |
|
10:30 - 11:00
|
Coffee break |
|
11:00 - 11:30
|
Exogenous chromosomes reveal how sequence composition drives chromatin assembly, activity, folding and compartmentalization (Amphithéâtre Astier, bâtiment Esclangon) - Julien Mozziconacci |
|
11:30 - 12:00
|
Probing transcription initiation at microsatellites with fully explainable deep neural networks (Amphithéâtre Astier, bâtiment Esclangon) - Charles-Henri Lecellier |
|
12:00 - 13:45
|
Lunch and Posters |
|
13:45 - 14:30
|
Keynote: Some probabilistic machine learning approaches to dimension reduction with applications to life sciences (Amphithéâtre Astier, bâtiment Esclangon) - Julien Chiquet |
|
14:30 - 15:00
|
Model fitness landscapes for genes' interaction pathways (Amphithéâtre Astier, bâtiment Esclangon) - Wang Shuhui |
|
15:00 - 15:30
|
Coffee break |
|
15:30 - 16:00
|
Maximum entropy models shed light on viral host adaptation (Amphithéâtre Astier, bâtiment Esclangon) - Andrea Di Gioacchino |
|
16:30 - 17:00
|
Machine learning prediction of genetic variant pleiotropy to characterize the human genetic architecture (Amphithéâtre Astier, bâtiment Esclangon) - Martin Tournaire |
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