Unsupervised cluster analysis and subset characterization of abnormal erythropoiesis using the bioinformatic Flow‐Self Organizing Maps algorithm

BACKGROUND: The Flow‐Self Organizing Maps (FlowSOM) artificial intelligence (AI) program, available within the Bioconductor open‐source R‐project, allows for an unsupervised visualization and interpretation of multiparameter flow cytometry (MFC) data. METHODS: Applied to a reference merged file from...

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Detalles Bibliográficos
Autores principales: Porwit, Anna, Violidaki, Despoina, Axler, Olof, Lacombe, Francis, Ehinger, Mats, Béné, Marie C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306598/
https://www.ncbi.nlm.nih.gov/pubmed/35150187
http://dx.doi.org/10.1002/cyto.b.22059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306598/
https://www.ncbi.nlm.nih.gov/pubmed/35150187
http://dx.doi.org/10.1002/cyto.b.22059

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