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pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks
SUMMARY: Convolutional neural networks (CNNs) have been shown to perform exceptionally well in a variety of tasks, including biological sequence classification. Available implementations, however, are usually optimized for a particular task and difficult to reuse. To enable researchers to utilize th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129303/ https://www.ncbi.nlm.nih.gov/pubmed/29659719 http://dx.doi.org/10.1093/bioinformatics/bty222 |