Kim, B. K., Gu, C., Farh, M. E., & Ryu, J. Y. (2026). Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast Cancer. International Journal of Molecular Sciences, 27(11), 5059. https://doi.org/10.3390/ijms27115059
Chicago Style (17th ed.) CitationKim, Bo Kyung, Changdai Gu, Mohamed El-Agamy Farh, and Jae Yong Ryu. "Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast Cancer." International Journal of Molecular Sciences 27, no. 11 (2026): 5059. https://doi.org/10.3390/ijms27115059.
MLA (9th ed.) CitationKim, Bo Kyung, et al. "Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast Cancer." International Journal of Molecular Sciences, vol. 27, no. 11, 2026, p. 5059, https://doi.org/10.3390/ijms27115059.