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Cleavage Site Analysis Using Rule Extraction from Neural Networks
In this paper, we demonstrate that the machine learning approach of rule extraction from a trained neural network can be successfully applied to SARS-coronavirus cleavage site analysis. The extracted rules predict cleavage sites better than consensus patterns. Empirical experiments are also shown.
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| Publicado no: | Advances in Natural Computation |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2005
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7114972/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/11539087_132 |
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