Article

Identifying multi-omics biomarkers for ovarian cancer survival estimation

2026-08-10

Abstract excerpt

Ovarian cancer is among the deadliest gynecologic malignancies, and its molecular heterogeneity limits accurate prognostic stratification. Although multi-omics approaches have improved predictive modeling, many prioritize predictive performance over biological interpretability, limiting their clinical translation. We developed an interpretable three-stage machine learning framework integrating mRNA, microRNA, DNA...

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Literature Corpus work: c639779d-7e9e-593c-8f10-a5065ebe1a17
DOI: 10.64898/2026.08.04.742866

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