The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method

Abstract 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...

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Main Authors: Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang, Ling-Yun Dai
Formato: Artigo
Idioma:Inglês
Publicado: BMC 2019-01-01
Series:BMC Bioinformatics
Assuntos:
Drug-disease interactions
L2,1-norm
Gaussian interaction profile
Matrix factorization
Acceso en liña:http://link.springer.com/article/10.1186/s12859-018-2575-6
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