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Representation learning of genomic sequence motifs with convolutional neural networks
Although convolutional neural networks (CNNs) have been applied to a variety of computational genomics problems, there remains a large gap in our understanding of how they build representations of regulatory genomic sequences. Here we perform systematic experiments on synthetic sequences to reveal h...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941814/ https://www.ncbi.nlm.nih.gov/pubmed/31856220 http://dx.doi.org/10.1371/journal.pcbi.1007560 |