A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro
A deep learning-based VDAs predictor
This paper includes three datasets that HDVD, VDA2 and VDA_ex processed from reference [1-3]. The drug synergistic and antagonistic interaction data is processed from reference [4]. The Each dataset file contains drug-drug similarity file, virus-virus similarity file, drug-virus association file and the prior knowledge feature files of drug and virus. We also provided all the used sequence files of drug and virus. Furthermore, the model can be trained and conducted prediction through running " 'SpHN_run.py' ", and the results can be recorded in the path of " 'results' / 'dataset name' ".
Zhong-Hao Ren, et al. A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro
A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro
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