These subgroups are highly significant predictors of survival, even after accounting for both clinical and histopathological variables such as age, sex, and cancer type in the survival analysis (likelihood ratio = 106.8; p = 9.1 × 10 −42 ).
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Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies.
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