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Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks

Research article (Journal of Bioinformatics and Computational Biology, 2018) · cited 65× · AI/ML
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Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks

Summary

Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks is a scholarly article[1].

Key Facts

  • Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/protein-secondary-structure-prediction-improved-by-recurrent-neural-networks-integrated-with-two-dimensional-convolution
MLA “Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/protein-secondary-structure-prediction-improved-by-recurrent-neural-networks-integrated-with-two-dimensional-convolution.
BibTeX @misc{4ortxyz_protein-secondary-structure-prediction-improved-by-recurrent-neural-networks-integrated-with-two-dimensional-convolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/protein-secondary-structure-prediction-improved-by-recurrent-neural-networks-integrated-with-two-dimensional-convolution}, note = {Accessed: 2026-05-24}}
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