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The importance of larger data sets for protein secondary structure prediction with neural networks.
A neural network algorithm is applied to secondary structure and structural class prediction for a database of 318 nonhomologous protein chains. Significant improvement in accuracy is obtained as compared with performance on smaller databases. A systematic study of the effects of network topology sh...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Cold Spring Harbor Laboratory Press
1996
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2143390/ https://ncbi.nlm.nih.gov/pubmed/8845767 |
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