Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer
Principal component analysis identity testing of a variety of normal SNP profiles from the germline DNA of prostate cancer patients (PC) used in the study compared to a set of HapMap normal reference populations from Nigeria (YRI), Europe (CEU), China (CHB), or, of African American (AFA) decent. The x and y axes represent the 1st and 2nd eigenvectors.
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