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...

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Detalles Bibliográficos
Autores principales: Zhang, Meng-Long, Zhao, Bo-Wei, Su, Xiao-Rui, He, Yi-Zhou, Yang, Yue, Hu, Lun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

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