APA (7th ed.) Citation

Tang, S., Long, X., Li, F., Jiang, S., Fu, Y., & Liu, J. Identification of RUVBL2 as a novel biomarker to predict the prognosis and drug sensitivity in multiple myeloma based on ferroptosis genes. Taylor & Francis Group.

Chicago Style (17th ed.) Citation

Tang, Sishi, Xinyi Long, Fangfang Li, Siyi Jiang, Yunfeng Fu, and Jing Liu. Identification of RUVBL2 as a Novel Biomarker to Predict the Prognosis and Drug Sensitivity in Multiple Myeloma Based on Ferroptosis Genes. Taylor & Francis Group.

MLA (9th ed.) Citation

Tang, Sishi, et al. Identification of RUVBL2 as a Novel Biomarker to Predict the Prognosis and Drug Sensitivity in Multiple Myeloma Based on Ferroptosis Genes. Taylor & Francis Group.