Fig. 2
From: Unravelling TPX2-centered co-expression networks as key drivers of aggressive prostate cancer
Global scaling of RNA-Seq data. (a) Principal component analysis (PCA) of RNA expression levels. The first two components shown explain the largest part of the variation in RNA expression (37%). Individual samples (circles) are color-coded by sample type (norm, prim, mHSPC, mCRPC). (b) Heatmap of the unsupervised hierarchical clustering analysis on the variance-stabilized transformed (VST) expression of the top 1000 most variable genes across all samples within each sample type. Each row corresponds to a single gene, whereas each column corresponds to a single sample.
