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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...
Autores principales: | Chai, Hua, Xia, Long, Zhang, Lei, Yang, Jiarui, Zhang, Zhongyue, Qian, Xiangjun, Yang, Yuedong, Pan, Weidong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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