APA (7th ed.) Citation

S, D., AC, B., Y, L., & ME, S. (2023). Identifying dynamical persistent biomarker structures for rare events using modern integrative machine learning approach. Proteomics, 23(21-22), e2200290. https://doi.org/10.1002/pmic.202200290

Chicago Style (17th ed.) Citation

S, Dutta, Box AC, Li Y, and Sardiu ME. "Identifying Dynamical Persistent Biomarker Structures for Rare Events Using Modern Integrative Machine Learning Approach." Proteomics 23, no. 21-22 (2023): e2200290. https://doi.org/10.1002/pmic.202200290.

MLA (9th ed.) Citation

S, Dutta, et al. "Identifying Dynamical Persistent Biomarker Structures for Rare Events Using Modern Integrative Machine Learning Approach." Proteomics, vol. 23, no. 21-22, 2023, p. e2200290, https://doi.org/10.1002/pmic.202200290.