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Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities
MOTIVATION: Deep learning architectures have recently demonstrated their power in predicting DNA- and RNA-binding specificity. Existing methods fall into three classes: Some are based on convolutional neural networks (CNNs), others use recurrent neural networks (RNNs) and others rely on hybrid archi...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6612801/ https://ncbi.nlm.nih.gov/pubmed/31510640 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz339 |
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