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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...

詳細記述

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書誌詳細
出版年:BMC Bioinformatics
主要な著者: Cui, Zhen, Gao, Ying-Lian, Liu, Jin-Xing, Dai, Ling-Yun, Yuan, Sha-Sha
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6557743/
https://ncbi.nlm.nih.gov/pubmed/31182006
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2768-7
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