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Modeling in-vivo protein-DNA binding by combining multiple-instance learning with a hybrid deep neural network
Modeling in-vivo protein-DNA binding is not only fundamental for further understanding of the regulatory mechanisms, but also a challenging task in computational biology. Deep-learning based methods have succeed in modeling in-vivo protein-DNA binding, but they often (1) follow the fully supervised...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6559991/ https://ncbi.nlm.nih.gov/pubmed/31186519 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-44966-x |
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