Justus F. Gräf

The unexplainable plasma protein measurements from Proximity Extension Assays

The paper evaluates Olink Explore plasma protein assays by analyzing genetic associations, cross-platform concordance, and tissue atlases to identify targets with low variance explainability.

Unsupervised learning of multi-omics data enables disease risk prediction in the UK Biobank

The paper applies a variational autoencoder to multi-omics data from the UK Biobank to assess disease risk prediction and the impact of preprocessing on model performance.

Obesity- and age-dependent genetic regulation of the plasma proteome in children and adolescents

This study identifies genetic regulation of plasma proteins in children and adolescents, finding obesity- and age-dependent pQTLs and potential causal links to cardiometabolic traits.

EIRsurvival: Deep Learning-based time-to-event analysis on high-dimensional genotype and multi-omics data

EIRsurvival predicts time-to-diagnosis using genetic and multi-omics data from large cohorts, achieving C-indices between 0.55 and 0.96.

Non-linear genetic regulation of the blood plasma proteome

The paper identifies non-linear genetic regulation of plasma proteins using a deep learning method, finding dominance and epistasis effects in large cohorts.