Integrative models of histopathological images and multi-omics data predict prognosis in endometrial carcinoma

OBJECTIVE: This study aimed to predict the molecular features of endometrial carcinoma (EC) and the overall survival (OS) of EC patients using histopathological imaging. METHODS: The patients from The Cancer Genome Atlas (TCGA) were separated into the training set (n = 215) and test set (n = 214) in...

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Detalles Bibliográficos
Autores principales: Li, Yueyi, Du, Peixin, Zeng, Hao, Wei, Yuhao, Fu, Haoxuan, Zhong, Xi, Ma, Xuelei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424667/
https://www.ncbi.nlm.nih.gov/pubmed/37583914
http://dx.doi.org/10.7717/peerj.15674

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424667/
https://www.ncbi.nlm.nih.gov/pubmed/37583914
http://dx.doi.org/10.7717/peerj.15674

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