PPAR Research / 2016 / Article / Tab 1

Research Article

PPARgene: A Database of Experimentally Verified and Computationally Predicted PPAR Target Genes

Table 1

Performances of logistic regression models trained on different features.

FeaturesPrecisionRecall1AUC

PS0.570.490.520.59
CPS0.610.680.640.68
CPS + HTE0.830.590.690.82

PS: PPRE score; CPS: conserved PPRE score; HTE: high throughput evidence.

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