A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks

The powerful combination of large-scale drug-related interaction networks and deep learning provides new opportunities for accelerating the process of drug discovery. However, chemical structures that play an important role in drug properties and high-order relations that involve a greater number of...

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Detalles Bibliográficos
Autores principales: Jin, Shuting, Hong, Yue, Zeng, Li, Jiang, Yinghui, Lin, Yuan, Wei, Leyi, Yu, Zhuohang, Zeng, Xiangxiang, Liu, Xiangrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681315/
https://www.ncbi.nlm.nih.gov/pubmed/37956212
http://dx.doi.org/10.1371/journal.pcbi.1011597

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681315/
https://www.ncbi.nlm.nih.gov/pubmed/37956212
http://dx.doi.org/10.1371/journal.pcbi.1011597

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