Deep learning models for modelling genetic variation
Title: Deep learning models for modelling genetic variation
SNIC Project: Berzelius-2021-30
Project Type: LiU Berzelius
Principal Investigator: Carl Nettelblad <carl.nettelblad@it.uu.se>
Affiliation: Uppsala universitet
Duration: 2021-08-18 – 2022-03-01
Classification: 40402
Homepage: https://github.com/kausmees/GenoCAE
Keywords:

Abstract

We are developing deep learning models based on autoencoder architectures for modelling genetic variation, as well as predicting traits of economic importance in plant and animal breeding applications.