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Improving representations of genomic sequence motifs in convolutional networks with exponential activations
Deep convolutional neural networks (CNNs) trained on regulatory genomic sequences tend to build representations in a distributed manner, making it a challenge to extract learned features that are biologically meaningful, such as sequence motifs. Here we perform a comprehensive analysis on synthetic...
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| Publicat a: | Nat Mach Intell |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8315445/ https://ncbi.nlm.nih.gov/pubmed/34322657 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42256-020-00291-x |
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