Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Logistic Matrix Factorization

Drug-target interactions provide useful information for biomedical drug discovery as well as drug development. However, it is costly and time consuming to find drug-target interactions by experimental methods. As a result, developing computational approaches for this task is necessary and has practi...

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Detalles Bibliográficos
Autores principales: Wang, Aizhen, Wang, Minhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019634/
https://www.ncbi.nlm.nih.gov/pubmed/33855072
http://dx.doi.org/10.1155/2021/5599263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019634/
https://www.ncbi.nlm.nih.gov/pubmed/33855072
http://dx.doi.org/10.1155/2021/5599263

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