A multimodal radiomic machine learning approach to predict the LCK expression and clinical prognosis in high-grade serous ovarian cancer

We developed and validated a multimodal radiomic machine learning approach to noninvasively predict the expression of lymphocyte cell-specific protein-tyrosine kinase (LCK) expression and clinical prognosis of patients with high-grade serous ovarian cancer (HGSOC). We analyzed gene enrichment using...

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Detalles Bibliográficos
Autores principales: Zhan, Feng, He, Lidan, Yu, Yuanlin, Chen, Qian, Guo, Yina, Wang, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541909/
https://www.ncbi.nlm.nih.gov/pubmed/37773310
http://dx.doi.org/10.1038/s41598-023-43543-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541909/
https://www.ncbi.nlm.nih.gov/pubmed/37773310
http://dx.doi.org/10.1038/s41598-023-43543-7

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