Article

EMMA-STRAT: A Multi-Omics Based Machine Learning Framework for Stratification of Endometrial Carcinoma Molecular Subtypes and MSI Status

2026-05-22

Abstract excerpt

<title>Abstract</title> <p>Background Uterine Corpus Endometrial Carcinoma (UCEC) is the most common gynecologic malignancy, with molecular heterogeneity influencing prognosis and treatment response. Despite the availability of TCGA-defined molecular subtypes and multi-omics datasets, robust and generalisable classifiers for molecular stratification remain limited. To address this challenge, we developed EMMA-ST...

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Literature Corpus work: 6911d0f8-4d1d-5743-a337-1ac0c30825fa
DOI: 10.21203/rs.3.rs-9448785/v1

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