Journal of Probability and Statistics / 2012 / Article / Fig 10

Research Article

Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer

Figure 10

Heatmap showing copy number amplifications and deletions for tumor samples in the gene signature. The genes are arranged in genomic order; position is indicated by the colored bar on the right. The tumor samples ( 𝑥 -axis) are arranged by subtype (metastatic (METS), progressors (mPTs), and control primary tumors) and further sorted by their metastatic potential score. A strong pattern emerges in the metastasis samples on the left and is shared by the progressors and high-risk primary tumors. Further towards the right, the metastatic pattern diminishes and even shows a reversal in copy number pattern in some chromosomal areas.

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.