APA (7th ed.) Citation

S, L., C, W., S, Z., DA, B., SE, K., GC, R., & JA, K. (2018). A data science approach for the classification of low-grade and high-grade ovarian serous carcinomas. BMC genomics, 19(1), 841. https://doi.org/10.1186/s12864-018-5177-9

Chicago Style (17th ed.) Citation

S, Lin, Wang C, Zarei S, Bell DA, Kerr SE, Runger GC, and Kocher JA. "A Data Science Approach for the Classification of Low-grade and High-grade Ovarian Serous Carcinomas." BMC Genomics 19, no. 1 (2018): 841. https://doi.org/10.1186/s12864-018-5177-9.

MLA (9th ed.) Citation

S, Lin, et al. "A Data Science Approach for the Classification of Low-grade and High-grade Ovarian Serous Carcinomas." BMC Genomics, vol. 19, no. 1, 2018, p. 841, https://doi.org/10.1186/s12864-018-5177-9.