Skip to main content
Fig. 3 | Molecular Cancer

Fig. 3

From: Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression

Fig. 3

Analysis of transcription datasets. a Projection of samples onto principal component 1 and 2 (PC1 and PC2) for the P0-P3, P0-P5 and P0-P6 principal component analysis (PCA) on transcriptomics values. Efficient samples clustering occurred after 6 cycles of in vivo passaging. b Heatmap for PC1- and PC2-associated gene expression from the P0-P6 PCA displaying a progressive pattern. c Projection of samples onto PC1 and PC2 for the P0-P6 PCA on methylation frequencies of all CGs from the whole genome methylation sequencing. d Top 5 significantly enriched GO terms (adjusted p-value ≤0.05) for differentially expressed genes in each group, between passages P3 and P6. Top 5 of each group and combined group are depicted. The z-score indicates how genes are differentially expressed according to GO terms: a positive z-score indicates that the number of up-regulated genes is higher than the number of down-regulated genes in the respective GO term. Counts represent the number of genes which are differentially expressed

Back to article page