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Wed. 31 |
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
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9:00 - 9:15 (15min)
Introduction
![]() Animation LEGO
9:15 - 10:00 (45min)
Keynote: Interpretable models in machine learning and their application in medicine
![]() Nataliya Sokolovska
10:00 - 10:30 (30min)
The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
![]() Javier Mendoza Revilla
10:30 - 11:00 (30min)
Coffee break
11:00 - 11:30 (30min)
Exogenous chromosomes reveal how sequence composition drives chromatin assembly, activity, folding and compartmentalization
![]() Julien Mozziconacci
11:30 - 12:00 (30min)
Probing transcription initiation at microsatellites with fully explainable deep neural networks
![]() Charles-Henri Lecellier
12:00 - 13:45 (1h45)
Lunch and Posters
13:45 - 14:30 (45min)
Keynote: Some probabilistic machine learning approaches to dimension reduction with applications to life sciences
![]() Julien Chiquet
14:30 - 15:00 (30min)
Model fitness landscapes for genes' interaction pathways
![]() Wang Shuhui
15:00 - 15:30 (30min)
Coffee break
15:30 - 16:00 (30min)
Maximum entropy models shed light on viral host adaptation
![]() Andrea Di Gioacchino
16:30 - 17:00 (30min)
Machine learning prediction of genetic variant pleiotropy to characterize the human genetic architecture
![]() Martin Tournaire
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