Skip to main content

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)
Back to article page

BMC Systems Biology

ISSN: 1752-0509

Contact us