Journal of Probability and Statistics / 2012 / Article / Fig 7

Research Article

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

Figure 7

Scatterplot of the enrichment scores of the METS versus those of mPTs, normalized by the enrichment scores of iPTs. Kernel density estimation curves are shown protruding from the 𝑥 and 𝑦 axes. The horizontal and vertical dashed red lines denote the trim points (quantiles 0.99 and 0.01). A linear regression line, based on the trimmed values, is shown in blue. The value of 𝑞 is the Pearson correlation coefficient for the trimmed 𝑥 and 𝑦 values.

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