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Dual graph convolutional neural network for predicting chemical networks

Abstract Background Predicting of chemical compounds is one of the fundamental tasks in bioinformatics and chemoinformatics, because it contributes to various applications in metabolic engineering and drug discovery. The recent rapid growth of the amount of available data has enabled applications of...

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Main Authors: Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima
格式: Artigo
語言:Inglês
出版: BMC 2020-04-01
叢編:BMC Bioinformatics
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在線閱讀:http://link.springer.com/article/10.1186/s12859-020-3378-0
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