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Fig. 2 | BMC Bioinformatics

Fig. 2

From: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

Fig. 2

Biomarker accuracies of the TCGA validation study. The TCGA validation study was conducted using breast and kidney cancer datasets, accessed via the R package TCGA2STAT. The matched-sample datasets were utilized to determine whether binomialRF could produce an accurate classifier via main effects and interactions. Left, the two binomialRF classifiers (51 identified gene main effects; 39 identified gene-gene interactions) and obtained a classifier as accurate as the original black-box RF model with all ~ 20,000 genes. Right, the two binomialRF classifiers (16 identified gene main effects; 11 identified gene-gene interactions) obtained a classifier as accurate as the original black-box RF model with all ~ 20,000 genes

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