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Cross-validation of protein structural class prediction using statistical clustering and neural networks.
We present an approach to predicting protein structural class that uses amino acid composition and hydrophobic pattern frequency information as input to two types of neural networks: (1) a three-layer back-propagation network and (2) a learning vector quantization network. The results of these metho...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cold Spring Harbor Laboratory Press
1993
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2142422/ https://ncbi.nlm.nih.gov/pubmed/8358300 |
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