Cite
Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer.
MLA
Wang, Ya, et al. “Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer.” OncoTargets & Therapy, vol. 12, Oct. 2019, pp. 8401–10. EBSCOhost, https://doi.org/10.2147/OTT.S215898.
APA
Wang, Y., Li, H., Ma, J., Fang, T., Li, X., Liu, J., Afewerky, H. K., Li, X., & Gao, Q. (2019). Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer. OncoTargets & Therapy, 12, 8401–8410. https://doi.org/10.2147/OTT.S215898
Chicago
Wang, Ya, Hanning Li, Jingjing Ma, Tian Fang, Xiaoting Li, Jiahao Liu, Henok Kessete Afewerky, Xiong Li, and Qinglei Gao. 2019. “Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer.” OncoTargets & Therapy 12 (October): 8401–10. doi:10.2147/OTT.S215898.