Machine learning-based integration develops an immune-related risk model for predicting prognosis of high-grade serous ovarian cancer and providing therapeutic strategies

BACKGROUND: High-grade serous ovarian cancer (HGSOC) is a highly lethal gynecological cancer that requires accurate prognostic models and personalized treatment strategies. The tumor microenvironment (TME) is crucial for disease progression and treatment. Machine learning-based integration is a powe...

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Detalles Bibliográficos
Autores principales: Wu, Qihui, Tian, Ruotong, He, Xiaoyun, Liu, Jiaxin, Ou, Chunlin, Li, Yimin, Fu, Xiaodan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113544/
https://www.ncbi.nlm.nih.gov/pubmed/37090728
http://dx.doi.org/10.3389/fimmu.2023.1164408

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113544/
https://www.ncbi.nlm.nih.gov/pubmed/37090728
http://dx.doi.org/10.3389/fimmu.2023.1164408

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