Chan, K.-Y.; Yamaguchi, T.; Izumiya, Y.; Chu, Y.-W.; Watanabe, T. Graph and Hypergraph Theories Applied to Dynamic Protein–Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction. Int. J. Mol. Sci. 2026, 27, 4750. https://doi.org/10.3390/ijms27114750

AMA Style

Chan K-Y, Yamaguchi T, Izumiya Y, Chu Y-W, Watanabe T. Graph and Hypergraph Theories Applied to Dynamic Protein–Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction. International Journal of Molecular Sciences. 2026; 27(11):4750. https://doi.org/10.3390/ijms27114750

Chicago/Turabian Style

Chan, Kai-Yu, Tatsuo Yamaguchi, Yoshihiro Izumiya, Yen-Wei Chu, and Tadashi Watanabe. 2026. "Graph and Hypergraph Theories Applied to Dynamic Protein–Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction" International Journal of Molecular Sciences 27, no. 11: 4750. https://doi.org/10.3390/ijms27114750

APA Style

Chan, K.-Y., Yamaguchi, T., Izumiya, Y., Chu, Y.-W., & Watanabe, T. (2026). Graph and Hypergraph Theories Applied to Dynamic Protein–Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction. International Journal of Molecular Sciences, 27(11), 4750. https://doi.org/10.3390/ijms27114750

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