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An automated framework for evaluation of deep learning models for splice site predictions
A novel framework for the automated evaluation of various deep learning-based splice site detectors is presented. The framework eliminates time-consuming development and experimenting activities for different codebases, architectures, and configurations to obtain the best models for a given RNA spli...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290104/ https://www.ncbi.nlm.nih.gov/pubmed/37353532 http://dx.doi.org/10.1038/s41598-023-34795-4 |