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RLFDDA: a meta-path based graph representation learning model for drug–disease association prediction
BACKGROUND: Drug repositioning is a very important task that provides critical information for exploring the potential efficacy of drugs. Yet developing computational models that can effectively predict drug–disease associations (DDAs) is still a challenging task. Previous studies suggest that the a...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713188/ https://www.ncbi.nlm.nih.gov/pubmed/36456957 http://dx.doi.org/10.1186/s12859-022-05069-z |