Article

Comprehensive evaluation of machine learning models and gene expression signatures for prostate cancer prognosis using large population cohorts

2021-07-05

Abstract excerpt

Overtreatment remains the pervasive problem in prostate cancer (PCa) management due to the highly variable and often indolent course. Molecular signatures derived from gene expression profiling have played critical roles in PCa treatment decision-making. Many gene expression signatures have been developed to improve the risk stratification of PCa and some of them have already been translationally applied to clinic...

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Literature Corpus work: 5b7590dc-a992-5245-8095-797eb774c197
DOI: 10.1101/2021.07.02.450975

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