Random Forest classified early vs late prostate cancer stage from TCGA RNA-seq with a best F1 of 83%, but the mean F1 over 100 runs was 70.2%.
Machine learning analysis of rna-seq data for diagnostic and prognostic prediction of colon cancer
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Leveraging Machine Learning and Deep Learning Techniques for Improved Pathological Staging of Prostate Cancer
Random Forest classified early vs late prostate cancer stage from TCGA RNA-seq with a best F1 of 83%, but the mean F1 over 100 runs was 70.2%.