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- Title
Efficient cytometry analysis with FlowSOM in Python boosts interoperability with other single-cell tools.
- Authors
Couckuyt, Artuur; Rombaut, Benjamin; Saeys, Yvan; Gassen, Sofie Van
- Abstract
Motivation We describe a new Python implementation of FlowSOM, a clustering method for cytometry data. Results This implementation is faster than the original version in R, better adapted to work with single-cell omics data including integration with current single-cell data structures and includes all the original visualizations, such as the star and pie plot. Availability and implementation The FlowSOM Python implementation is freely available on GitHub: https://github.com/saeyslab/FlowSOM_Python.
- Subjects
PYTHONS; CYTOMETRY; DATA structures; DATA visualization
- Publication
Bioinformatics, 2024, Vol 40, Issue 4, p1
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btae179