APA (7th ed.) Citation

C, B. G., E, B., D, C., A, M., E, M., V, C., . . . A, P. (2022). Combined unsupervised and semi-automated supervised analysis of flow cytometry data reveals cellular fingerprint associated with newly diagnosed pediatric type 1 diabetes. Frontiers in immunology, 13, 1026416. https://doi.org/10.3389/fimmu.2022.1026416

Chicago Style (17th ed.) Citation

C, Bechi Genzano, et al. "Combined Unsupervised and Semi-automated Supervised Analysis of Flow Cytometry Data Reveals Cellular Fingerprint Associated with Newly Diagnosed Pediatric Type 1 Diabetes." Frontiers in Immunology 13 (2022): 1026416. https://doi.org/10.3389/fimmu.2022.1026416.

MLA (9th ed.) Citation

C, Bechi Genzano, et al. "Combined Unsupervised and Semi-automated Supervised Analysis of Flow Cytometry Data Reveals Cellular Fingerprint Associated with Newly Diagnosed Pediatric Type 1 Diabetes." Frontiers in Immunology, vol. 13, 2022, p. 1026416, https://doi.org/10.3389/fimmu.2022.1026416.