Cite
Stratification of hospitalized COVID-19 patients into clinical severity progression groups by immuno-phenotyping and machine learning
MLA
Mueller, Yvonne M., et al. “Stratification of Hospitalized COVID-19 Patients into Clinical Severity Progression Groups by Immuno-Phenotyping and Machine Learning.” Nature Communications, vol. 13, no. 1, Sept. 2021. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....76965598bb9dae66e2a700c93f634571&authtype=sso&custid=ns315887.
APA
Mueller, Y. M., Schrama, T. J., Ruijten, R., Schreurs, M. W. J., Grashof, D. G. B., van de Werken, H. J. G., Lasinio, G. J., Álvarez-Sierra, D., Kiernan, C. H., Castro Eiro, M. D., van Meurs, M., Brouwers-Haspels, I., Zhao, M., Li, L., de Wit, H., Ouzounis, C. A., Wilmsen, M. E. P., Alofs, T. M., Laport, D. A., … Universitat Autònoma de Barcelona. (2021). Stratification of hospitalized COVID-19 patients into clinical severity progression groups by immuno-phenotyping and machine learning. Nature Communications, 13(1).
Chicago
Mueller, Yvonne M., Thijs J. Schrama, Rik Ruijten, Marco W. J. Schreurs, Dwin G. B. Grashof, Harmen J. G. van de Werken, Giovanna Jona Lasinio, et al. 2021. “Stratification of Hospitalized COVID-19 Patients into Clinical Severity Progression Groups by Immuno-Phenotyping and Machine Learning.” Nature Communications 13 (1). http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....76965598bb9dae66e2a700c93f634571&authtype=sso&custid=ns315887.