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IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction

IGPRED: Combination of convolutional neural and graph convolutional networks for protein... Yasin Görmez1 | Mostafa Sabzekar2 | Zafer Aydın3The author would like to add the following information to the Acknowledgements sectionThe results of this paper were used in Yasin Görmez's thesis, “Developing Deep Learning Models for Protein Structure Prediction”.REFERENCEGörmez Y, Sabzekar M, Aydın Z. IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction. Proteins. 2021;89(10):1277–1288. https://doi.org/10.1002/prot.26149 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proteins: Structure Function and Bioinformatics Wiley

IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction

Proteins: Structure Function and Bioinformatics , Volume 90 (8) – Aug 1, 2022
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References (1)

Publisher
Wiley
Copyright
© 2022 Wiley Periodicals LLC.
ISSN
0887-3585
eISSN
1097-0134
DOI
10.1002/prot.26354
Publisher site
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Abstract

Yasin Görmez1 | Mostafa Sabzekar2 | Zafer Aydın3The author would like to add the following information to the Acknowledgements sectionThe results of this paper were used in Yasin Görmez's thesis, “Developing Deep Learning Models for Protein Structure Prediction”.REFERENCEGörmez Y, Sabzekar M, Aydın Z. IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction. Proteins. 2021;89(10):1277–1288. https://doi.org/10.1002/prot.26149

Journal

Proteins: Structure Function and Bioinformatics – Wiley

Published: Aug 1, 2022

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