Additional file 3: Table S1. of NFPscanner: a webtool for knowledge-based deciphering of biomedical networks

Performance of algorithm and parameter combinations on the same input data set. Table S2. AUC value of networks fingerprint results for 73 KEGG diseases datasets. Figure S1. Average ROC curves derived from Table S2. Table S3. Fingerprints data file in Case Studies. (ZIP 95 kb)

不同算法与参数组合在同一输入数据集上的性能表现。补充表S2：73个京都基因与基因组百科全书（KEGG）疾病数据集的网络指纹结果的曲线下面积（Area Under Curve, AUC）值。补充图S1：由补充表S2推导得到的平均受试者工作特征曲线（Receiver Operating Characteristic, ROC）。补充表S3：案例研究中所用的指纹数据文件（ZIP压缩包，95 KB）。