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DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches

MOTIVATION: Finding computationally drug–target interactions (DTIs) is a convenient strategy to identify new DTIs at low cost with reasonable accuracy. However, the current DTI prediction methods suffer the high false positive prediction rate. RESULTS: We developed DDR, a novel method that improves...

詳細記述

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書誌詳細
出版年:Bioinformatics
主要な著者: Olayan, Rawan S, Ashoor, Haitham, Bajic, Vladimir B
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5998943/
https://ncbi.nlm.nih.gov/pubmed/29186331
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx731
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