CS, C., S, U., R, T., T, K., & S, K. (2024). Explainable Machine Learning Models to Predict Gibbs-Donnan Effect During Ultrafiltration and Diafiltration of High-Concentration Monoclonal Antibody Formulations. Biotechnology journal, 19(10), e202400212. https://doi.org/10.1002/biot.202400212
Chicago Style (17th ed.) CitationCS, Chen, Ujiie S, Tanibata R, Kawase T, and Kobayashi S. "Explainable Machine Learning Models to Predict Gibbs-Donnan Effect During Ultrafiltration and Diafiltration of High-Concentration Monoclonal Antibody Formulations." Biotechnology Journal 19, no. 10 (2024): e202400212. https://doi.org/10.1002/biot.202400212.
MLA (9th ed.) CitationCS, Chen, et al. "Explainable Machine Learning Models to Predict Gibbs-Donnan Effect During Ultrafiltration and Diafiltration of High-Concentration Monoclonal Antibody Formulations." Biotechnology Journal, vol. 19, no. 10, 2024, p. e202400212, https://doi.org/10.1002/biot.202400212.