Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies
Abstract Myeloid malignancies exhibit considerable heterogeneity with overlapping clinical and genetic features among subtypes.We present a data-driven approach that integrates mutational features and clinical covariates at diagnosis within networks of their probabilistic relationships, enabling the discovery of patient subgroups.A key strength is