Principal Component Analysis (PCA) is a multivariate analysis that reduces the complexity of datasets while preserving data covariance. The outcome can be visualized on colorful scatterplots, ideally ...
The need for simple, non-invasive biomarkers for prostate cancer (PCa) diagnosis is increasing. Urinary PSA (uPSA) and Zinc (uZinc) are emerging as potential PCa risk indicators. This study aimed to ...
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