APA (7th ed.) Citation

Kulkarni, S. G., Laurent, S., Miotto, P., Walker, T. M., Chindelevitch, L., Nathanson, C., . . . Farhat, M. R. Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis. Nature Portfolio.

Chicago Style (17th ed.) Citation

Kulkarni, Sanjana G., Sacha Laurent, Paolo Miotto, Timothy M. Walker, Leonid Chindelevitch, Carl-Michael Nathanson, Nazir Ismail, Timothy C. Rodwell, and Maha R. Farhat. Multivariable Regression Models Improve Accuracy and Sensitive Grading of Antibiotic Resistance Mutations in Mycobacterium Tuberculosis. Nature Portfolio.

MLA (9th ed.) Citation

Kulkarni, Sanjana G., et al. Multivariable Regression Models Improve Accuracy and Sensitive Grading of Antibiotic Resistance Mutations in Mycobacterium Tuberculosis. Nature Portfolio.