Parameter optimization for stable clustering using FlowSOM: a case study from CyTOF
Tao W, Sinha A, Raddassi K, Pandit A. Parameter optimization for stable clustering using FlowSOM: a case study from CyTOF. Frontiers In Immunology 2024, 15: 1414400. PMID: 39445014, PMCID: PMC11497637, DOI: 10.3389/fimmu.2024.1414400.Peer-Reviewed Original ResearchParameter optimizationMachine learning methodologyMachine learningComplex dataClustering outcomesLearning methodologyAssociated with immune disordersModified pipelineCell phenotypeImmune cell populationsDatasetBugsAutomated gatingOptimizationMachineImmunological datasetsImmune disordersScalabilityStable clustersCell populationsPipelineCellular changesCase studyCyTOFCyTOF data