APA (7th ed.) Citation

Porwit, A., Violidaki, D., Axler, O., Lacombe, F., Ehinger, M., Béné, M. C., . . . Lund University, F. o. M. (2022). Unsupervised cluster analysis and subset characterization of abnormal erythropoiesis using the bioinformatic Flow-Self Organizing Maps algorithm. Cytometry Part B - Clinical Cytometry, 102(2), 134. https://doi.org/10.1002/cyto.b.22059

Chicago Style (17th ed.) Citation

Porwit, Anna, Despoina Violidaki, Olof Axler, Francis Lacombe, Mats Ehinger, Marie C. Béné, Faculty of Medicine Lund University, and Faculty of Medicine Lund University. "Unsupervised Cluster Analysis and Subset Characterization of Abnormal Erythropoiesis Using the Bioinformatic Flow-Self Organizing Maps Algorithm." Cytometry Part B - Clinical Cytometry 102, no. 2 (2022): 134. https://doi.org/10.1002/cyto.b.22059.

MLA (9th ed.) Citation

Porwit, Anna, et al. "Unsupervised Cluster Analysis and Subset Characterization of Abnormal Erythropoiesis Using the Bioinformatic Flow-Self Organizing Maps Algorithm." Cytometry Part B - Clinical Cytometry, vol. 102, no. 2, 2022, p. 134, https://doi.org/10.1002/cyto.b.22059.