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Convolutional neural network architectures for predicting DNA–protein binding
Motivation: Convolutional neural networks (CNN) have outperformed conventional methods in modeling the sequence specificity of DNA–protein binding. Yet inappropriate CNN architectures can yield poorer performance than simpler models. Thus an in-depth understanding of how to match CNN architecture to...
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| Veröffentlicht in: | Bioinformatics |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4908339/ https://ncbi.nlm.nih.gov/pubmed/27307608 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw255 |
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