MOESM2 of DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions
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https://springernature.figshare.com/articles/dataset/MOESM2_of_DDI-PULearn_a_positive-unlabeled_learning_method_for_large-scale_prediction_of_drug-drug_interactions/11447292/1
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资源简介：
Additional file 2 This file contains lists of researched drugs, verified DDIs, reliable negative samples generated by DDI-PULearn, and the detailed feature importance ranking results.• Table S1: DDI prediction results using different combinations of drug features.• Table S2: 548 drugs researched in this work.• Table S3: 45,026 reliable negative samples generated by DDI-PULearn.• Table S4: 48,584 verified DDIs in the benchmark dataset.• Table S5: Detailed feature importance ranking results by Random Forrest.• Table S6: 6602 reliable negative sample seeds generated by OCSVM and KNN (XLSX 1,661 kb).
提供机构：
Zheng, Yi; Peng, Hui; Zhang, Xiaocai; Gao, Xiaoying; Li, Jinyan; Zhao, Zhixun
创建时间：
2019-12-24
