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. 2022 Apr 12;23(8):4263. doi: 10.3390/ijms23084263

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© 2022 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Figure A1 — ROC curves containing 95% confidence intervals for different deep learning models on the T sites of the training dataset P.ELM, 10-fold cross validation was used. (a) ROC curve of the TransPhos model; (b) ROC curve of the CNN model. (c) ROC curve of the LSTM model. (d) ROC curve of the RNN model. (e) ROC curve of the FCNN model. (f) Performance comparison on the T sites of the P.ELM dataset.

Figure A1 — ROC curves containing 95% confidence intervals for different deep learning models on the T sites of the training dataset P.ELM, 10-fold cross validation was used. (a) ROC curve of the TransPhos model; (b) ROC curve of the CNN model. (c) ROC curve of the LSTM model. (d) ROC curve of the RNN model. (e) ROC curve of the FCNN model. (f) Performance comparison on the T sites of the P.ELM dataset.