LWPCMF: Logistic Weighted Profile-based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations.

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2021)

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摘要
As is known to all, constructing experiments to predict unknown miRNA-disease association is time-consuming, laborious and costly. Accordingly, new prediction model should be conducted to predict novel miRNA-disease associations. What's more, the performance of this method should be high and reliable. In this paper, a new computation model Logistic Weighted Profile-based Collaborative Matrix Facto...
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关键词
Diseases,Kernel,Logistics,Semantics,Computational modeling,Databases,Collaboration
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