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Integrated machine learning approaches for flow cytometric quantification of myeloid-derived suppressor cells in acute sepsis
Highly heterogeneous cell populations require multiple flow cytometric markers for appropriate phenotypic characterization. This exponentially increases the complexity of 2D scatter plot analyses and exacerbates human errors due to variations in manual gating of flow data. We describe a semi-automat...
Autores principales: | Bonavia, Anthony S., Samuelsen, Abigail, Luthy, Joshua, Halstead, E. Scott |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714638/ https://www.ncbi.nlm.nih.gov/pubmed/36466851 http://dx.doi.org/10.3389/fimmu.2022.1007016 |
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