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In-Silico Molecular Binding Prediction for Human Drug Targets Using Deep Neural Multi-Task Learning
In in-silico prediction for molecular binding of human genomes, promising results have been demonstrated by deep neural multi-task learning due to its strength in training tasks with imbalanced data and its ability to avoid over-fitting. Although the interrelation between tasks is known to be import...
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| Publicado no: | Genes (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6896155/ https://ncbi.nlm.nih.gov/pubmed/31703452 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes10110906 |
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