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Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities
MOTIVATION: Deep learning architectures have recently demonstrated their power in predicting DNA- and RNA-binding specificity. Existing methods fall into three classes: Some are based on convolutional neural networks (CNNs), others use recurrent neural networks (RNNs) and others rely on hybrid archi...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6612801/ https://ncbi.nlm.nih.gov/pubmed/31510640 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz339 |
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