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09:30 - 09:45
|
Introduction |
|
|
09:45 - 11:00
|
Deep Learning for Structural Data |
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09:45 - 10:30 |
› Rationalizing machine learning on biomolecules structures, applications to RNA therapeutics and PPI predictions - Vincent Mallet, Centre de Bioinformatique |
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10:30 - 11:00 |
› DLScaff: Deep Learning for Hi-C Assembly Correction and Scaffolding - Alexis Mergez, Unité de Mathématiques et Informatique Appliquées de Toulouse |
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11:00 - 11:30
|
Coffee break |
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|
11:30 - 12:30
|
Interpretability and Transfer Learning in Transcriptomics |
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|
11:30 - 12:00 |
› A Biologically Interpretable Approach To Identify New Therapeutics Targets Using Deep Neural Networks - Charlotte Job, Informatique, BioInformatique, Systèmes Complexes |
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12:00 - 12:30 |
› Adversarial Domain Adaptation Enables Knowledge Transfer Across RNA-Seq Datasets - Kevin DRADJAT, Informatique, BioInformatique, Systèmes Complexes (IBISC) |
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12:30 - 14:15
|
Lunch |
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|
14:15 - 15:30
|
Phylogenetics and Phylodynamics |
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|
14:15 - 15:00 |
› Estimating factors of epidemic spread with deep learning-enabled phylodynamics - Anna Zhukova, Institut de biologie de l'ENS Paris, Institut Pasteur |
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|
15:00 - 15:30 |
› Graph Neural Networks for Likelihood-Free Inference in Diversification Models - Amélie Leroy, Biologie Computationnelle, Quantitative et Synthétique, Modélisation de la Biologie |
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15:30 - 16:00
|
Coffee break |
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|
16:00 - 16:30
|
Phylogenetics and Phylodynamics |
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|
16:00 - 16:30 |
› Likelihood-free inference of phylogenetic tree posterior distributions - Luc Blassel, Biologie Computationnelle, Quantitative et Synthétique [Paris] (ex LCQB) |
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16:30 - 17:00
|
Representation Learning in (Epi)genomics |
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|
16:30 - 17:00 |
› Spreading of methylation of transposable elements in A.Thaliana - Ekaterina Antonenko, CBIO-Centre for Computational Biology, U1331, Institut Curie, PSL-Research University |
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|
17:00 - 17:30
|
Closing remarks |
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