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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...
Autores principales: | Shapovalov, Maxim, Dunbrack, Roland L., Vucetic, Slobodan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202669/ https://www.ncbi.nlm.nih.gov/pubmed/32374785 http://dx.doi.org/10.1371/journal.pone.0232528 |
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