deep learning

Can Neural Networks be used to Predict Cross-Species Annotations of Chromatin Regulation ?

Maillard Noémien, Klopp Christophe, Donnadieu Cécile, Riquet Juliette, Fève Katia, Julie Demars, Mourad Raphaël

Annotations cross-species deep learning

Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms

Silvia Martín-Suazo, Jesús Morón-López, Stanislav Vakaruk, Amit Karamchandani, Juan Antonio Pascual Aguilar, Alberto Mozo, Sandra Gómez-Canaval, Meritxell Vinyals, Juan Manuel Ortiz

deep learning Chlorophyll Harmful algae bloom Monitoring Time-series Forecasting

Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence prediction

Han Phan, Céline Brouard, Raphaël Mourad

regulatory genomics deep learning semi-supervised learning regulatory genomics deep learning semi-supervised learning

Prioritize Regulating Variants in a Quantitative Trait Locus (QTL)

Noémien Maillard, Juliette Riquet, Katia Feve, Raphaël Mourad, Julie Demars

pig genetic annotation artificial intelligence deep learning

Cross-species use of neural networks to improve pig genome annotation -a proof of concept

Noémien Maillard, Juliette Riquet, Katia Feve, Julie Demars, Raphaël Mourad

pig genetic annotation artificial intelligence deep learning