Deep learning models for modelling genetic variation
Title: |
Deep learning models for modelling genetic variation |
DNr: |
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: |
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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.