基于融合相似性和三部图的 circRNA 与疾病关联预测
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王波,刘庭斌,张剑飞,杜晓昕,王鑫炜
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Prediction of circRNA and disease association based on fusion similarity and tripartite graph
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Bo WANG,Ting-bin LIU,Jian-fei ZHANG,Xiao-xin DU,Xin-wei WANG
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表 2 所提模型在不同测试方法下的评估指标对比 |
Tab.2 Comparison of indicators for proposed model at different test methods |
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数据集 | 测试 | AUC% | AUPR% | TPR% | p% | F1 % | MCC% | D1 | LOOCV | 97.01 | 86.26 | 98.18 | 4.32 | 8.27 | 89.06 | D1 | 5折 | 97.01 | 86.27 | 98.09 | 4.35 | 8.30 | 89.11 | D1 | 10折 | 97.02 | 86.27 | 98.15 | 4.33 | 8.29 | 89.08 | D1 | 均值 | 97.01 | 86.27 | 98.14 | 4.33 | 8.29 | 89.08 | D2 | LOOCV | 94.46 | 78.01 | 93.85 | 5.40 | 10.22 | 86.68 | D2 | 5折 | 94.47 | 77.98 | 93.88 | 5.41 | 10.23 | 86.67 | D2 | 10折 | 94.47 | 78.03 | 93.87 | 5.41 | 10.25 | 86.68 | D2 | 均值 | 94.47 | 78.01 | 93.87 | 5.41 | 10.23 | 86.68 |
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