The computational prediction of drug-disease interactions using the dual-network L(2,1)-CMF method

BACKGROUND: Predicting drug-disease interactions (DDIs) is time-consuming and expensive. Improving the accuracy of prediction results is necessary, and it is crucial to develop a novel computing technology to predict new DDIs. The existing methods mostly use the construction of heterogeneous network...

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Detalles Bibliográficos
Autores principales: Cui, Zhen, Gao, Ying-Lian, Liu, Jin-Xing, Wang, Juan, Shang, Junliang, Dai, Ling-Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320570/
https://www.ncbi.nlm.nih.gov/pubmed/30611214
http://dx.doi.org/10.1186/s12859-018-2575-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320570/
https://www.ncbi.nlm.nih.gov/pubmed/30611214
http://dx.doi.org/10.1186/s12859-018-2575-6

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