APA (7th ed.) Citation

Salie, M. T., Yang, J., Ramírez Medina, C. R., Zühlke, L. J., Chishala, C., Ntsekhe, M., . . . Nkereuwem, E. (2022). Data-independent acquisition mass spectrometry in severe rheumatic heart disease (RHD) identifies a proteomic signature showing ongoing inflammation and effectively classifying RHD cases. Clinical Proteomics, 19(1), 1. https://doi.org/10.1186/s12014-022-09345-1

Chicago Style (17th ed.) Citation

Salie, M. Taariq, et al. "Data-independent Acquisition Mass Spectrometry in Severe Rheumatic Heart Disease (RHD) Identifies a Proteomic Signature Showing Ongoing Inflammation and Effectively Classifying RHD Cases." Clinical Proteomics 19, no. 1 (2022): 1. https://doi.org/10.1186/s12014-022-09345-1.

MLA (9th ed.) Citation

Salie, M. Taariq, et al. "Data-independent Acquisition Mass Spectrometry in Severe Rheumatic Heart Disease (RHD) Identifies a Proteomic Signature Showing Ongoing Inflammation and Effectively Classifying RHD Cases." Clinical Proteomics, vol. 19, no. 1, 2022, p. 1, https://doi.org/10.1186/s12014-022-09345-1.