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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896155/ https://www.ncbi.nlm.nih.gov/pubmed/31703452 http://dx.doi.org/10.3390/genes10110906 |