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A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network
Abstract Background Drug-target interaction prediction is of great significance for narrowing down the scope of candidate medications, and thus is a vital step in drug discovery. Because of the particularity of biochemical experiments, the development of new drugs is not only costly, but also time-c...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMC
2020-09-01
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| Серии: | BMC Bioinformatics |
| Предметы: | |
| Online-ссылка: | http://link.springer.com/article/10.1186/s12859-020-03677-1 |
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