L(2,1)-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions

BACKGROUND: Predicting drug-target interactions is time-consuming and expensive. It is important to present the accuracy of the calculation method. There are many algorithms to predict global interactions, some of which use drug-target networks for prediction (ie, a bipartite graph of bound drug pai...

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Detalles Bibliográficos
Autores principales: Cui, Zhen, Gao, Ying-Lian, Liu, Jin-Xing, Dai, Ling-Yun, Yuan, Sha-Sha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557743/
https://www.ncbi.nlm.nih.gov/pubmed/31182006
http://dx.doi.org/10.1186/s12859-019-2768-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557743/
https://www.ncbi.nlm.nih.gov/pubmed/31182006
http://dx.doi.org/10.1186/s12859-019-2768-7

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