APA (7th ed.) Citation

Lo, Y. (2024). Non-linear machine learning with sample perturbation augments leukemia relapse prognostics from single-cell proteomics measurements. Advances in computational intelligence, 4(4), 11. https://doi.org/10.1007/s43674-024-00078-2

Chicago Style (17th ed.) Citation

Lo, Yu-Chen. "Non-linear Machine Learning with Sample Perturbation Augments Leukemia Relapse Prognostics from Single-cell Proteomics Measurements." Advances in Computational Intelligence 4, no. 4 (2024): 11. https://doi.org/10.1007/s43674-024-00078-2.

MLA (9th ed.) Citation

Lo, Yu-Chen. "Non-linear Machine Learning with Sample Perturbation Augments Leukemia Relapse Prognostics from Single-cell Proteomics Measurements." Advances in Computational Intelligence, vol. 4, no. 4, 2024, p. 11, https://doi.org/10.1007/s43674-024-00078-2.