HeTDR: Drug repositioning based on heterogeneous networks and text mining

Using existing knowledge to carry out drug-disease associations prediction is a vital method for drug repositioning. However, effectively fusing the biomedical text and biological network information is one of the great challenges for most current drug repositioning methods. In this study, we propos...

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Detalles Bibliográficos
Autores principales: Jin, Shuting, Niu, Zhangming, Jiang, Changzhi, Huang, Wei, Xia, Feng, Jin, Xurui, Liu, Xiangrong, Zeng, Xiangxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369234/
https://www.ncbi.nlm.nih.gov/pubmed/34430926
http://dx.doi.org/10.1016/j.patter.2021.100307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369234/
https://www.ncbi.nlm.nih.gov/pubmed/34430926
http://dx.doi.org/10.1016/j.patter.2021.100307

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