Published June 9, 2021
| Version v1
Software
Open
HeTDR: Drug Repositioning based on Heterogeneous networks and Text mining
Creators
- 1. Xiamen University
- 2. MindRank AI ltd
- 3. Hunan University
Description
Drug repositioning is a useful way to discover new drug candidates for curing diseases. However, integrating multiple networks and text mining information for drug repositioning is still a major challenge. We propose a drug repositioning method based on heterogeneous networks and text mining (HeTDR), which can combine drug features from multiple networks and disease features from biomedical corpora for drug repositioning. HeTDR obtains high accuracy in predicting drug-disease interactions and is capable of finding novel indications of approved drugs.
Notes
More details can be found at: https://github.com/stjin-XMU/HeTDR
Files
HeTDR-master.zip
Files
(19.1 MB)
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