APA (7th ed.) Citation

Wang, Z., Wang, Y., Yang, T., Xing, H., Wang, Y., Gao, L., . . . Ma, W. (2021). Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients. Briefings in bioinformatics, 22(5), . https://doi.org/10.1093/bib/bbab032

Chicago Style (17th ed.) Citation

Wang, Zihao, et al. "Machine Learning Revealed Stemness Features and a Novel Stemness-based Classification with Appealing Implications in Discriminating the Prognosis, Immunotherapy and Temozolomide Responses of 906 Glioblastoma Patients." Briefings in Bioinformatics 22, no. 5 (2021). https://doi.org/10.1093/bib/bbab032.

MLA (9th ed.) Citation

Wang, Zihao, et al. "Machine Learning Revealed Stemness Features and a Novel Stemness-based Classification with Appealing Implications in Discriminating the Prognosis, Immunotherapy and Temozolomide Responses of 906 Glioblastoma Patients." Briefings in Bioinformatics, vol. 22, no. 5, 2021, https://doi.org/10.1093/bib/bbab032.