NetCanDrug: Supplementary Dataset for Network-Based Cancer Drug Repositioning

This dataset contains the processed data supporting the results of theNetCanDrug study, a network-based pipeline for cancer drug repositioning. The dataset includes:- Final ranking of 3,010 drug candidates- Tumor protein–protein interaction (PPI) network topology metrics- Dysregulated biological pathways (FDR < 0.05)- Drug–target interaction mappings filtered to tumor network genes- Complete tumor PPI network in GraphML format Raw data from TCGA, STRING, Reactome and DGIdb are not redistributeddue to licensing restrictions. Only processed data generated in thisstudy are provided. Source code is available at:https://github.com/JohnPss/NetCanDrug本数据集包含支撑NetCanDrug研究结果的经处理数据，NetCanDrug是一款用于癌症药物重定位的基于网络的分析流程。 本数据集包含以下内容： - 3010种候选药物的最终排名 - 肿瘤蛋白质相互作用（Protein-Protein Interaction, PPI）网络拓扑指标 - 失调生物通路（错误发现率False Discovery Rate, FDR < 0.05） - 经筛选适配肿瘤网络基因的药物-靶点相互作用映射关系 - GraphML格式的完整肿瘤PPI网络 由于许可限制，来自TCGA、STRING、Reactome及DGIdb的原始数据无法重新分发，仅提供本研究生成的经处理数据。 本研究的源代码可于以下网址获取：https://github.com/JohnPss/NetCanDrug