Summary
Binary classifiers such as linear discriminant analysis can be used to predict continuous properties such as affinity and specificity of antibodies (1,2).
Details
In text analysis this was also demonstrated by (3).
Figures
Ref (1)
Ref (2)
1.
Makowski EK, Kinnunen PC, Huang J, Wu L, Smith MD, Wang T, et al. Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space. Nature Communications. 2022;13(1). Available from: https://doi.org/10.1038/s41467-022-31457-3
2.
Ursu E, Minnegalieva A, Rawat P, Chernigovskaya M, Tacutu R, Sandve GK, et al. Training data composition determines machine learning generalization and biological rule discovery. Nature Machine Intelligence. 2025;7(8):1206–19. Available from: https://doi.org/10.1038/s42256-025-01089-5
3.
Wankmüller S, Heumann C. How to Estimate Continuous Sentiments From Texts Using Binary Training Data. In: Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021). 2021. p. 182–92. Available from: https://aclanthology.org/2021.konvens-1.16/