APA (7th ed.) Citation

SG, K., S, L., P, M., TM, W., L, C., CM, N., . . . MR, F. (2025). Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis. Nature communications, 16(1), 2149. https://doi.org/10.1038/s41467-025-57174-1

Chicago Style (17th ed.) Citation

SG, Kulkarni, Laurent S, Miotto P, Walker TM, Chindelevitch L, Nathanson CM, Ismail N, Rodwell TC, and Farhat MR. "Multivariable Regression Models Improve Accuracy and Sensitive Grading of Antibiotic Resistance Mutations in Mycobacterium Tuberculosis." Nature Communications 16, no. 1 (2025): 2149. https://doi.org/10.1038/s41467-025-57174-1.

MLA (9th ed.) Citation

SG, Kulkarni, et al. "Multivariable Regression Models Improve Accuracy and Sensitive Grading of Antibiotic Resistance Mutations in Mycobacterium Tuberculosis." Nature Communications, vol. 16, no. 1, 2025, p. 2149, https://doi.org/10.1038/s41467-025-57174-1.