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Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction
Protein secondary structure prediction remains a vital topic with broad applications. Due to lack of a widely accepted standard in secondary structure predictor evaluation, a fair comparison of predictors is challenging. A detailed examination of factors that contribute to higher accuracy is also la...
Zapisane w:
| Wydane w: | PLoS One |
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| Główni autorzy: | , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Public Library of Science
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7202669/ https://ncbi.nlm.nih.gov/pubmed/32374785 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0232528 |
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