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Inherently interpretable position-aware convolutional motif kernel networks for biological sequencing data
Artificial neural networks show promising performance in detecting correlations within data that are associated with specific outcomes. However, the black-box nature of such models can hinder the knowledge advancement in research fields by obscuring the decision process and preventing scientist to f...
| 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/PMC10567796/ https://www.ncbi.nlm.nih.gov/pubmed/37821530 http://dx.doi.org/10.1038/s41598-023-44175-7 |