№ files_lp_4_process_3_137424
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Comparative research document presenting performance analysis of PICAFlow versus FlowSOM and PhenoGraph in clustering single-cell data, including cluster abundance, phenotype matching, and marker positivity accuracy.
Year: 2026
Region / Institution: Not specified
Topic: Single-cell clustering methods
Document type: Supplemental Material / Research Comparison
Author: Not explicitly stated
Dataset: Normalized single-cell dataset including CD19+ CD3- B cells
Methods compared: PICAFlow, FlowSOM, PhenoGraph
Cell populations analyzed: Lymphocyte-shaped single cells
Metrics evaluated: Number of clusters, cluster abundance, marker positivity accuracy
Figures included: S1A, S1B, S1C, S1D, S1E
Statistical analysis: One-sample signed-rank Wilcoxon tests
Key observations: PICAFlow identifies major clusters efficiently, merges rare populations, produces higher median abundance clusters, maintains closer accuracy to manual gating for most markers
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