Interpretable Kolmogorov-Arnold networks for enzyme commission number prediction
Abstract Accurate prediction of enzyme commission (EC) numbers remains a significant challenge in bioinformatics, limiting our understanding of enzyme functions and their roles in biological processes. This paper presents the integration and evaluation of Kolmogorov-Arnold networks (KANs), a new dee...
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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2026-01-01
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| Seria: | npj Artificial Intelligence |
| Dostęp online: | https://doi.org/10.1038/s44387-025-00059-x |
| Etykiety: |
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