Akagi, K.; Jin, Y.-J.; Koizumi, K.; Oku, M.; Ito, K.; Shen, X.; Imura, J.-i.; Aihara, K.; Saito, S.
Integration of Dynamical Network Biomarkers, Control Theory and Drosophila Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome. Cells 2025, 14, 415.
https://doi.org/10.3390/cells14060415
AMA Style
Akagi K, Jin Y-J, Koizumi K, Oku M, Ito K, Shen X, Imura J-i, Aihara K, Saito S.
Integration of Dynamical Network Biomarkers, Control Theory and Drosophila Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome. Cells. 2025; 14(6):415.
https://doi.org/10.3390/cells14060415
Chicago/Turabian Style
Akagi, Kazutaka, Ying-Jie Jin, Keiichi Koizumi, Makito Oku, Kaisei Ito, Xun Shen, Jun-ichi Imura, Kazuyuki Aihara, and Shigeru Saito.
2025. "Integration of Dynamical Network Biomarkers, Control Theory and Drosophila Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome" Cells 14, no. 6: 415.
https://doi.org/10.3390/cells14060415
APA Style
Akagi, K., Jin, Y.-J., Koizumi, K., Oku, M., Ito, K., Shen, X., Imura, J.-i., Aihara, K., & Saito, S.
(2025). Integration of Dynamical Network Biomarkers, Control Theory and Drosophila Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome. Cells, 14(6), 415.
https://doi.org/10.3390/cells14060415
