A, A., E, T., LN, S., & RD, K. (2026). Drug response profile-based machine learning enables strategic cell line and compound selection for drug development. Bioinformatics (Oxford, England), 42(6), . https://doi.org/10.1093/bioinformatics/btag293
Chicago Style (17th ed.) CitationA, Abdel-Rehim, Tate E, Soldatova LN, and King RD. "Drug Response Profile-based Machine Learning Enables Strategic Cell Line and Compound Selection for Drug Development." Bioinformatics (Oxford, England) 42, no. 6 (2026). https://doi.org/10.1093/bioinformatics/btag293.
MLA (9th ed.) CitationA, Abdel-Rehim, et al. "Drug Response Profile-based Machine Learning Enables Strategic Cell Line and Compound Selection for Drug Development." Bioinformatics (Oxford, England), vol. 42, no. 6, 2026, https://doi.org/10.1093/bioinformatics/btag293.