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Table 2 Predictive performances of RF models (quantified by the mean ± standard deviation values of AUC) trained and tested with different predictor sets in the ClinSeq®; and FHS cohort data

From: Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeq® and Framingham Heart Study cohorts

Predictors Optimal # markers Optimal AUC p-value
CLIN 3 (ClinSeq®;), 3 (FHS) 0.69 ±0.02 (ClinSeq®;), 0.61 ±0.02 (FHS) 0.015 (ClinSeq®;), 0.080 (FHS)
SNP Set-2 21 (ClinSeq)®;, 21 (FHS) 0.99 ±0.01 (ClinSeq®;), 0.85 ±0.02 (FHS) <0.001 (ClinSeq®;), <0.001 (FHS)
CLIN+SNP Set-2 21 (ClinSeq®;), 18 (FHS) 0.99 ±0.01 (ClinSeq®;), 0.83 ±0.01 (FHS) <0.001 (ClinSeq®;), <0.001 (FHS)
  1. “CLIN” corresponds to the nine clinical variables listed in Additional file 1: Table S1 (all variables except age and gender)