Reusability report: multi-sample omics network inference operates in distinct robustness regimes defined by prior knowledge and data availability
Nature Machine Intelligence, Published online: 19 October 2026; doi:10.1038/s42256-026-01311-y This work studies the reusability of CORNETO, a previously developed framework for learning biological networks from multi-omics data. Robust network inference is found to depend on data availability, prior knowledge, regularization and biological context.
We haven't written up this one. Nature Machine Intelligence has the full story — the link below goes straight to it.