Robust functional eipgenetics neural networks
Title: Robust functional eipgenetics neural networks
DNr: LiU-compute-2023-38
Project Type: LiU Compute
Principal Investigator: Mika Gustafsson <>
Affiliation: Linköpings universitet
Duration: 2023-11-21 – 2024-12-01
Classification: 10203


A common problem with associating gene variants to complex disease associated traits is power and multiple testing. We have used gene networks to incorporate functional relevance among gene variants, but has not lead to decision support systems. In this project we aim to integrate network information with deep learning utilizing epigenomics and transcriptomics in millions of gene variants and 100000's of patients and integrating also images and gene binding networks. This project will store these data when we compute. The project is funded by grants from KAW and VR.