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Fig. 3 | Genome Medicine

Fig. 3

From: Identification of key regulators of pancreatic cancer progression through multidimensional systems-level analysis

Fig. 3

Meta-analysis of pancreatic ductal adenocarcinoma (PDAC) epigenome data. a Unsupervised principal component analysis plots across the first three principle components (PC) on individual DNA methylation datasets included in the meta-analysis. The variance captured by each PC is shown along the respective axis. PDAC samples are represented in red and normal samples in black. In all datasets, PDAC and normal samples formed separate clusters marked in ellipses. b DNA methylation heatmaps show the expression matrix of genes with mean methylation ≥ 0.5 and standard deviation ≥ 0.2 among the top 100 differentially methylated genes identified by rank products analysis (false discovery rate ≤ 0.05) from each dataset used in the meta-analysis. Samples are shown as columns and genes as rows. Relative methylation is shown with a pseudocolor scale (–1 to 1), with red denoting relatively high expression in PDAC and green relatively low expression across row-scaled data

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