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...
Main Authors: | Maxim Shapovalov, Roland L Dunbrack, Slobodan Vucetic |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0232528 |
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