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Machine learning analysis of oxidative stress-related phenotypes for specific gene screening in ovarian cancer.

Environmental toxicology - 1 Oct 2024

Pan Chenxiang, Pan Chunyu, Chen Lili, Lin Aidi

Abstract excerpt

BACKGROUND: Oxidative stress serves a crucial role in tumor development. However, the relationship between ovarian cancer and oxidative stress remains unknown. We aimed to create an oxidative stress-related prognostic signature to enhance the prognosis prediction of CC patients using bioinformatics. METHODS: The genes differentially expressed and associated with oxidative stress were extracted with the help of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 39162393
DOI: 10.1002/tox.24321

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