Gene expression classification in the MCF-7 estrogen response GRN using various selections of regulatory nodes based on their core numbers, K, in K-core hierarchy.

In the top half of the table the innermost core regulators (K ≤ 2) are always included and the cumulative effect of adding further core regulators is measured. In the bottom half of the table the innermost core regulators (K ≤ 2) are excluded in order to measure the individual contributions of regulators at various core levels. Classification accuracy is reported in terms of area under the ROC curve (AUROC) for real valued classifiers (LR, SVR and PCA) and Matthew’s correlation coefficient (MCC) for binary classifiers (SVC).

表格上半部分始终纳入K ≤ 2的最内层核心调控因子（innermost core regulators），并测定添加后续核心调控因子的累积效应。表格下半部分则排除K ≤ 2的最内层核心调控因子，以测定不同核心层级调控因子的单独贡献。针对实值分类器（LR、SVR与PCA），分类性能以受试者工作特征曲线下面积（Area Under the ROC Curve, AUROC）报告；针对二元分类器（SVC），则以马修斯相关系数（Matthew’s Correlation Coefficient, MCC）报告。