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. 2019 Jul 29;20(4):2990–3002. doi: 10.3892/mmr.2019.10535

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Copyright: © Xie et al.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Figure 3. — Selection of optimal prognostic genes using the Cox-PH model. (A) Venn diagram of overlapped DEGs and DMGs, FDR <0.05 and |log₂FC| >0.263. (B) The optimal ‘lambda’ parameters by cvl circular calculation. (C) The Cox-PH regression coefficients distribution of the 8 genes in the optimal matrix. Cox-PH, Cox's proportional hazards; DEGs, differentially expressed genes; DMGs, differentially methylated genes; cvl, Cross-validation likelihood; CCDC136, coiled-coil domain containing 136 gene; ABCG2, ATP binding cassette subfamily G member 2 gene; SYT13, synaptotagmin XIII gene; TNNI3, cardiac troponin I gene; FOXC2, Forkhead 1 gene; CXCL5, epithelial neutrophil-activating peptide-78 gene; TMEM233, transmembrane protein 233 gene; CY26A1, cytochrome P450 26A1 gene.