DNADNA - Deep Neural Architectures for DNA
Date de dernière version : 20 juin 2020
Responsable :
JAY Flora
DNADNA is a package for deep learning inference in population genetics. DNADNA provides utility functions to improve development of neural networks for population genetics and is currently based on PyTorch.
In particular, it already implements several neural networks that allow inferring demographic and adaptive history from genetic data. Pre-trained networks can be used directly on real/simulated genetic polymorphism data for prediction. Implemented networks can also be optimized based on user-specified training sets and/or tasks. Finally, any user can implement new architectures and tasks, while benefiting from DNADNA input/output, network optimization, and test environment.
Pour en savoir plus: https://gitlab.com/mlgenetics/dnadna
Logiciel
Activités de recherche
Membres
CHARPIAT Guillaume JAY Flora BRAY Erik SANCHEZ Théophile CURY Jean JOBIC Pierre
Equipe Bioinformatique Apprentissage et Optimisation Développement logiciel
