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Table 4 Overall accuracy of the SVM classifier trained using the gene panel proposed by OncoPaD and the genes selected in this study via SVM-RFE and stability selection

From: Predicting cancer type from tumour DNA signatures

Classification task 277 OncoPaD tier 1 genes Top 277 SVM-RFE-based SPM genes Top 277 SVM-RFE-based SPM and CNA genes
28 cancer types of this study 49.6 % 57.3 % 88.1 %
19 cancer types common between this study and OncoPaD 56.0 % 63.4 % 90.3 %
  1. The 19 tumour types that are common to our data set and OncoPaD are those labelled 1–11, 13, 14, and 16–21 in Table 1
  2. CNA copy number altered, SPM somatic point-mutated, SVM support vector machine, SVM-RFE SVM recursive feature elimination