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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...
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| Veröffentlicht in: | Bioinformatics |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6129303/ https://ncbi.nlm.nih.gov/pubmed/29659719 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty222 |
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