An approach for integrating multimodal omics data into sparse and interpretable models

Using omics data, a common goal is to identify a concise set of variables that predict a clinical endpoint from an extensive pool. In a recent paper published in Nature Biotechnology, Hédou et al.(1) introduced Stabl, a computational method crafted to identify sparse yet robust signatures linked to endpoints.