2024
Comprehensive evaluation and practical guideline of gating methods for high-dimensional cytometry data: manual gating, unsupervised clustering, and auto-gating
Liu P, Pan Y, Chang H, Wang W, Fang Y, Xue X, Zou J, Toothaker J, Olaloye O, Santiago E, McCourt B, Mitsialis V, Presicce P, Kallapur S, Snapper S, Liu J, Tseng G, Konnikova L, Liu S. Comprehensive evaluation and practical guideline of gating methods for high-dimensional cytometry data: manual gating, unsupervised clustering, and auto-gating. Briefings In Bioinformatics 2024, 26: bbae633. PMID: 39656848, PMCID: PMC11630031, DOI: 10.1093/bib/bbae633.Peer-Reviewed Original Research
2020
Recent Advances in Computer-Assisted Algorithms for Cell Subtype Identification of Cytometry Data
Liu P, Liu S, Fang Y, Xue X, Zou J, Tseng G, Konnikova L. Recent Advances in Computer-Assisted Algorithms for Cell Subtype Identification of Cytometry Data. Frontiers In Cell And Developmental Biology 2020, 8: 234. PMID: 32411698, PMCID: PMC7198724, DOI: 10.3389/fcell.2020.00234.Peer-Reviewed Original ResearchClustering toolsMulti-dimensional datasetsAvailable datasetsSuch datasetsSupervised toolsCell subtype identificationSuch toolsDatasetManual gatingLarge numberIdentification approachHigh-dimensional cytometryToolUsabilityNew generationCytometry dataAlgorithmClusteringCellular clusteringPopularityCurrent challengesFuture directionsSubtype identificationNumber of markersRecent advances