Integrating bulk RNA-seq and scRNA-seq analyses with machine learning to predict platinum response and prognosis in ovarian cancer

Integrating bulk RNA-seq and scRNA-seq analyses with machine learning to predict platinum response and prognosis in ovarian cancer

Abstract Platinum-based therapy is an integral part of the standard treatment for ovarian cancer. However, despite extensive research spanning several decades, the identification of dependable predictive biomarkers for platinum response in clinical practice has proven to be a formidable challenge. R...

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Bibliographic Details
Main Authors: Tingting Gao, Peng Zhao, Suxia Han
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Single-cell RNA sequence
Heterogeneity
Ovarian cancer
Platinum chemotherapy
Machine learning
Prognosis
Online Access:https://doi.org/10.1038/s41598-025-99930-9
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https://doi.org/10.1038/s41598-025-99930-9

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