RNA regulation mechanisms study using physics-informed machine learning
Abstract Understanding the dynamic regulation mechanisms of RNA is crucial for unlocking the secrets of biological processes and diseases. Existing computational methods primarily focus on static structures and give insufficient attention to RNA. Here, we develop a pipeline based on physics-informed...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2025-12-01
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| シリーズ: | Communications Physics |
| オンライン･アクセス: | https://doi.org/10.1038/s42005-025-02452-z |
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