Aug 13, 2021 · We propose a novel method in drug repositioning based on heterogeneous networks and text mining (HeTDR), which combines drugs features from multiple networks ...
Jul 13, 2021 · In this study, we propose a drug repositioning method based on heterogeneous networks and text mining (HeTDR). This model can combine drug ...
HeTDR: Drug repositioning based on heterogeneous networks and text mining ... Heterogeneous Graph Neural Network–Based Method for Multi-Labeled Drug Repurposing.
HeTDR. Drug repositioning based on Heterogeneous network and Text Mining. 'Get drug feature' directory. 'data' directory Contain the nine drug-related networks.
Jul 13, 2021 · In this study, we propose a drug repositioning method based on heterogeneous networks and text mining (HeTDR). This model can combine drug ...
Dec 21, 2022 · In this study we propose a drug repositioning method, VGAEDR, based on a heterogeneous network of multiple drug attributes and a variational graph autoencoder.
Missing: HeTDR: | Show results with:HeTDR:
HGTDR is a three-step approach for knowledge graph-based drug repurposing: (1) constructing a heterogeneous knowledge graph, (2) utilizing a heterogeneous graph ...
People also ask
What are the techniques of drug repositioning?
What is the meaning of drug repositioning?
Network visualization of the drug-disease associations ...
www.researchgate.net › figure › Network...
Figure 5. The interpretability of HeTDR Identifies novel associations... HeTDR: Drug repositioning based on heterogeneous networks and text mining.
Popular methods for drug repositioning include text mining, matrix factorization, and network-based approaches, each with its unique advantages and challenges ( ...
Jul 6, 2022 · Drug repurposing is the process of discovering new indications (i.e., diseases or conditions) for already approved drugs.