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Fig. 1 | BMC Genomics

Fig. 1

From: Combining a machine-learning derived 4-lncRNA signature with AFP and TNM stages in predicting early recurrence of hepatocellular carcinoma

Fig. 1

Identification of recurrence related dysregulated lncRNAs. (A) Venn plot of dysregulated lncRNAs in three different DEG analyses methods including DESeq2, edgeR and limma. Total 1164 dysregulated common lncRNAs (801 upregulated and 363 downregulated) were selected in TCGA training group; (B) PCA plot of 50 normal samples and 157 HCC samples of the training group based on the 1164 dysregulated common lncRNAs; (C) Heatmap of 1164 dysregulated common lncRNAs in 50 normal samples and 157 HCC samples of the training group; (D) Venn plot of recurrence related dysregulated lncRNAs from log-rank test and Cox regression survival analyses. There were 81 common DElncs related with HCC recurrence

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