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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...
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| Опубликовано в: : | PLoS Comput Biol |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6941814/ https://ncbi.nlm.nih.gov/pubmed/31856220 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007560 |
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