A novel stratification framework for predicting outcome in patients with prostate cancer
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DOI: 10.1038/s41416-020-0799-5
Abstract: Background Unsupervised learning methods, such as Hierarchical Cluster Analysis, are commonly used for the analysis of genomic platform data. Unfortunately, such approaches ignore the well-documented heterogeneous composition of prostate cancer samples. Our aim is to… read more here.
Keywords: cancer; stratification framework; cancer novel; prostate cancer ... See more keywords