Using Bioinformatics and Machine Learning to Predict the Genetic Characteristics of Ferroptosis-Cuproptosis-Related Genes Associated with Sleep Deprivation.

MLA

Wang, Liang, et al. “Using Bioinformatics and Machine Learning to Predict the Genetic Characteristics of Ferroptosis-Cuproptosis-Related Genes Associated with Sleep Deprivation.” Nature and Science of Sleep, vol. 16, Sept. 2024, pp. 1497–513. EBSCOhost, https://doi.org/10.2147/NSS.S473022.

APA

Wang, L., Wang, S., Tian, C., Zou, T., Zhao, Y., Li, S., Yang, M., & Chai, N. (2024). Using Bioinformatics and Machine Learning to Predict the Genetic Characteristics of Ferroptosis-Cuproptosis-Related Genes Associated with Sleep Deprivation. Nature and Science of Sleep, 16, 1497–1513. https://doi.org/10.2147/NSS.S473022

Chicago

Wang, Liang, Shuo Wang, Chujiao Tian, Tao Zou, Yunshan Zhao, Shaodan Li, Minghui Yang, and Ningli Chai. 2024. “Using Bioinformatics and Machine Learning to Predict the Genetic Characteristics of Ferroptosis-Cuproptosis-Related Genes Associated with Sleep Deprivation.” Nature and Science of Sleep 16 (September): 1497–1513. doi:10.2147/NSS.S473022.