ITRPCA: a new model for computational drug repositioning based on improved tensor robust principal component analysis

Background: Drug repositioning is considered a promising drug development strategy with the goal of discovering new uses for existing drugs. Compared with the experimental screening for drug discovery, computational drug repositioning offers lower cost and higher efficiency and, hence, has become a...

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Detalles Bibliográficos
Autores principales: Yang, Mengyun, Yang, Bin, Duan, Guihua, Wang, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545866/
https://www.ncbi.nlm.nih.gov/pubmed/37795241
http://dx.doi.org/10.3389/fgene.2023.1271311

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545866/
https://www.ncbi.nlm.nih.gov/pubmed/37795241
http://dx.doi.org/10.3389/fgene.2023.1271311

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