Learning from low-rank multimodal representations for predicting disease-drug associations

BACKGROUND: Disease-drug associations provide essential information for drug discovery and disease treatment. Many disease-drug associations remain unobserved or unknown, and trials to confirm these associations are time-consuming and expensive. To better understand and explore these valuable associ...

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Detalles Bibliográficos
Autores principales: Hu, Pengwei, Huang, Yu-an, Mei, Jing, Leung, Henry, Chen, Zhan-heng, Kuang, Ze-min, You, Zhu-hong, Hu, Lun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567544/
https://www.ncbi.nlm.nih.gov/pubmed/34736437
http://dx.doi.org/10.1186/s12911-021-01648-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567544/
https://www.ncbi.nlm.nih.gov/pubmed/34736437
http://dx.doi.org/10.1186/s12911-021-01648-x

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