1 citations · 2 across the 6 of their papers we have counts for
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Deep Generative Models for Discrete Genotype Simulation
Sihan Xie, Thierry Tribout, Didier Boichard +3
Deep generative models open new avenues for simulating realistic genomic data while preserving privacy and addressing data accessibility constraints. While previous studies have pr…
Self-supervised learning on gene expression data
Kevin Dradjat, Massinissa Hamidi, Pierre Bartet +1
Predicting phenotypes from gene expression data is a crucial task in biomedical research, enabling insights into disease mechanisms, drug responses, and personalized medicine. Trad…
IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability
Ahmad Fall, Federica Granese, Alex Lence +5
Monitoring and analyzing electrocardiogram (ECG) signals, even under varying physiological conditions, including those influenced by physical activity, drugs and stress, is crucial…