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 its ability to include presumed cau... https://www.adaptsurvival.com/product-category/scrub-corpo/
Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies
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