New Preprint: Benchmarking Precision Matrix Estimation for Differential Co-Expression Network Analysis

We are pleased to share our latest preprint, now available on bioRxiv: “Benchmarking precision matrix estimation methods for differential co-expression network analysis” Overmann M., Grabert G., Kacprowski T. bioRxiv (2026) | https://doi.org/10.64898/2026.04.13.716081 Understanding how genes interact — and how those interactions change in disease — is a central challenge in molecular biology. While classical differential expression analyses identify which […]

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