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Neural networks with circular filters enable data efficient inference of sequence motifs
MOTIVATION: Nucleic acids and proteins often have localized sequence motifs that enable highly specific interactions. Due to the biological relevance of sequence motifs, numerous inference methods have been developed. Recently, convolutional neural networks (CNNs) have achieved state of the art perf...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792110/ https://www.ncbi.nlm.nih.gov/pubmed/30918943 http://dx.doi.org/10.1093/bioinformatics/btz194 |