References

References#

[CRSVG24]

Artuur Couckuyt, Benjamin Rombaut, Yvan Saeys, and Sofie Van Gassen. Efficient cytometry analysis with FlowSOM in python boosts interoperability with other single-cell tools. Bioinformatics, 2024. URL: https://doi.org/10.1093/bioinformatics/btae179, doi:10.1093/bioinformatics/btae179.

[QCE+21]

Katrien Quintelier, Artuur Couckuyt, Annelies Emmaneel, Joachim Aerts, Yvan Saeys, and Sofie Van Gassen. Analyzing high-dimensional cytometry data using FlowSOM. Nature Protocols, 16(8):3775–3801, August 2021. Number: 8 Publisher: Nature Publishing Group. URL: https://www.nature.com/articles/s41596-021-00550-0, doi:10.1038/s41596-021-00550-0.

[VGCVH+15]

Sofie Van Gassen, Britt Callebaut, Mary J. Van Helden, Bart N. Lambrecht, Piet Demeester, Tom Dhaene, and Yvan Saeys. FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data. Cytometry. Part A: The Journal of the International Society for Analytical Cytology, 87(7):636–645, July 2015. Number: 7. doi:10.1002/cyto.a.22625.