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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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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMC
2020-04-01
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| Серии: | BMC Bioinformatics |
| Предметы: | |
| Online-ссылка: | http://link.springer.com/article/10.1186/s12859-020-3378-0 |
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