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Dual graph convolutional neural network for predicting chemical networks
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 computa...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7178944/ https://ncbi.nlm.nih.gov/pubmed/32321421 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3378-0 |
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