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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

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