Cornelia P. Prehn

This study identifies metabolite ratios using generalized linear models to diagnose peritoneal endometriosis with high accuracy from plasma samples.

LEOPARD completes missing views in multi-timepoint omics data by disentangling content and temporal representations, outperforming existing methods on benchmark datasets.

CoNI integrates multi-omics data to identify genetic regulators of hepatic metabolism, validating several candidates in human liver cells and biopsies.

The paper introduces a network-based conditional GWAS method to analyze metabolomics data, identifying additional loci by improving genetic effect precision and handling pleiotropic scenarios.

This study shows that high mitochondrial heteroplasmy in mice reduces lifespan and impairs glucose metabolism.