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. 2021 Sep 27;11:692774. doi: 10.3389/fonc.2021.692774

Figure 1.

Figure 1

Proposed adaptive transfer-learning-based deep Cox neural network (ATRCN) used for hepatocellular carcinoma (HCC) survival analysis. (A) Architecture of the proposed ATRCN. (B) Independent tests for the HCC prognosis prediction model obtained by ATRCN. (C) Identifying HCC prognostic markers. (D) Enriching the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways that are associated with HCC prognosis.