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Urinary volatile organic compounds for the detection of prostate cancer

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Figure

Table 1. Demographics for study participants with and without prostate cancer.
Table 2. Approaches and R packages applied for feature selection prior to statistical modelling.
Fig 1. The pipeline of the validation techniques known as repeated 10 fold cross validation and repeated double cross validation
Table 3. Accuracy results of PSA testing for prostate cancer assessed with repeated 10 fold cross validation of Random Forest and Linear Dis-criminant Analysis (LDA) models.
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