Skip to main content
Fig. 2 | Genome Medicine

Fig. 2

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

Fig. 2

Meta-analysis of pancreatic ductal adenocarcinoma (PDAC) regulatory miRNA data. a Unsupervised principal component analysis plots across the first three principle components (PC) on individual miRNA 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 Heatmap fold change (Fc) of top 50 significantly differentially expressed miRNAs identified from meta-analysis (abs(Fc) ≥ 2 in at least one of the datasets; false discovery rate ≤ 0.05). Datasets are shown as columns and miRNAs as rows. Relative fold changes are shown with a pseudocolor scale (–1 to 1), with red denoting upregulation in PDAC and green denoting downregulation

Back to article page