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An equivariant Bayesian convolutional network predicts recombination hotspots and accurately resolves binding motifs
MOTIVATION: Convolutional neural networks (CNNs) have been tremendously successful in many contexts, particularly where training data are abundant and signal-to-noise ratios are large. However, when predicting noisily observed phenotypes from DNA sequence, each training instance is only weakly infor...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6596897/ https://www.ncbi.nlm.nih.gov/pubmed/30481258 http://dx.doi.org/10.1093/bioinformatics/bty964 |