APA (7th ed.) Citation

Akagi, K., Jin, Y., Koizumi, K., Oku, M., Ito, K., Shen, X., . . . Saito, S. Integration of Dynamical Network Biomarkers, Control Theory and <i>Drosophila</i> Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome. MDPI AG.

Chicago Style (17th ed.) Citation

Akagi, Kazutaka, Ying-Jie Jin, Keiichi Koizumi, Makito Oku, Kaisei Ito, Xun Shen, Jun-ichi Imura, Kazuyuki Aihara, and Shigeru Saito. Integration of Dynamical Network Biomarkers, Control Theory and <i>Drosophila</i> Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome. MDPI AG.

MLA (9th ed.) Citation

Akagi, Kazutaka, et al. Integration of Dynamical Network Biomarkers, Control Theory and <i>Drosophila</i> Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome. MDPI AG.