Article

Multiomics and Machine Learning Identify Prognostic Immune Related Gene Signatures in Ovarian Cancer

2025-12-18

Abstract excerpt

<title>Abstract</title> <p>Objective Ovarian cancer exhibits high heterogeneity, significant prognostic variability, and a lack of reliable prognostic biomarkers. This study aimed to construct and validate risk-associated gene signatures for ovarian cancer using multi-omics integration and machine learning techniques, thereby providing support for precise diagnosis and treatment. Methods Single-cell transcripto...

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Literature Corpus work: 17090e82-9ee0-52ab-9a0c-18ad5e77926d
DOI: 10.21203/rs.3.rs-7658174/v1

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