Steinbauer, F. F., Lehr, T., & Reichel, A. (2024). Exploring the Potential of Adaptive, Local Machine Learning in Comparison to the Prediction Performance of Global Models: A Case Study from Bayer’s Caco‑2 Permeability Database. Journal of chemical information and modeling, 64(24), 9163-9172. https://doi.org/10.1021/acs.jcim.4c01083
Chicago Style (17th ed.) CitationSteinbauer, Frank Filip, Thorsten Lehr, and Andreas Reichel. "Exploring the Potential of Adaptive, Local Machine Learning in Comparison to the Prediction Performance of Global Models: A Case Study from Bayer’s Caco‑2 Permeability Database." Journal of Chemical Information and Modeling 64, no. 24 (2024): 9163-9172. https://doi.org/10.1021/acs.jcim.4c01083.
MLA (9th ed.) CitationSteinbauer, Frank Filip, et al. "Exploring the Potential of Adaptive, Local Machine Learning in Comparison to the Prediction Performance of Global Models: A Case Study from Bayer’s Caco‑2 Permeability Database." Journal of Chemical Information and Modeling, vol. 64, no. 24, 2024, pp. 9163-9172, https://doi.org/10.1021/acs.jcim.4c01083.