An Adaptive Transfer-Learning-Based Deep Cox Neural Network for Hepatocellular Carcinoma Prognosis Prediction

BACKGROUND: Predicting hepatocellular carcinoma (HCC) prognosis is important for treatment selection, and it is increasingly interesting to predict prognosis through gene expression data. Currently, the prognosis remains of low accuracy due to the high dimension but small sample size of liver cancer...

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Detalles Bibliográficos
Autores principales: Chai, Hua, Xia, Long, Zhang, Lei, Yang, Jiarui, Zhang, Zhongyue, Qian, Xiangjun, Yang, Yuedong, Pan, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504135/
https://www.ncbi.nlm.nih.gov/pubmed/34646759
http://dx.doi.org/10.3389/fonc.2021.692774

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504135/
https://www.ncbi.nlm.nih.gov/pubmed/34646759
http://dx.doi.org/10.3389/fonc.2021.692774

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