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...
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Veröffentlicht in: | PloS one 2020-05, Vol.15 (5), p.e0232528 |
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Sprache: | eng |
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