Subject classification obtained by cluster analysis and principal component analysis applied to flow cytometric data.
about
Functional Signatures of Human CD4 and CD8 T Cell Responses to Mycobacterium tuberculosisAlacrity of cells engaged in the immune responseA human memory T cell subset with stem cell-like propertiesIntegrating and mining diverse data in human immunological studies.Scalable analysis of flow cytometry data using R/Bioconductor.A survey of flow cytometry data analysis methodsT-cell activation discriminates subclasses of symptomatic primary humoral immunodeficiency diseases in adultsHierarchical clustering of flow cytometry data for the study of conventional central chondrosarcoma.Data analysis in flow cytometry: the future just started.Exhaustive expansion: A novel technique for analyzing complex data generated by higher-order polychromatic flow cytometry experiments.A theorem proving approach for automatically synthesizing visualizations of flow cytometry dataFIND: a new software tool and development platform for enhanced multicolor flow analysis.T cell activation but not polyfunctionality after primary HIV infection predicts control of viral load and length of the time without therapy.Use of direct gradient analysis to uncover biological hypotheses in 16s survey data and beyond.A chromatic explosion: the development and future of multiparameter flow cytometry.CD4saurus Rex &HIVelociraptor vs. development of clinically useful immunological markers: a Jurassic tale of frozen evolutionClassifying tissue samples from measurements on cells with within-class tissue sample heterogeneity.Uncompensated Polychromatic Analysis of Mitochondrial Membrane Potential Using JC-1 and Multilaser Excitation.Integration of immunity with physical and cognitive function in definitions of successful aging.Advances in human B cell phenotypic profiling.Adenosine A1 receptors contribute to immune regulation after neonatal hypoxic ischemic brain injury.Cisplatin Resistant Patterns in Ovarian Cell Line Using FTIR and Principle Component AnalysisThe past, present, and future of immune repertoire biology - the rise of next-generation repertoire analysis.Phaedra, a protocol-driven system for analysis and validation of high-content imaging and flow cytometry.Novel data analysis method for multicolour flow cytometry links variability of multiple markers on single cells to a clinical phenotype.Generation of clinical-grade CD19-specific CAR-modified CD8+ memory stem cells for the treatment of human B-cell malignancies.Visualization of cell composition and maturation in the bone marrow using 10-color flow cytometry and radar plots.Aging of the immune system: Focus on inflammation and vaccination.T memory stem cells in health and disease.Herpes simplex virus type 1 dysregulates anti-fungal defenses preventing monocyte activation and downregulating toll-like receptor-2.Multiparameter flow cytometry and bioanalytics for B cell profiling in systemic lupus erythematosus.Human bone marrow contains a subset of quiescent early memory CD8(+) T cells characterized by high CD127 expression and efflux capacity.Polychromatic analysis of mitochondrial membrane potential using JC-1.Single Cell and Population Level Analysis of HCA Data.Background fluorescence and spreading error are major contributors of variability in high-dimensional flow cytometry data visualization by t-distributed stochastic neighboring embedding
P2860
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P2860
Subject classification obtained by cluster analysis and principal component analysis applied to flow cytometric data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Subject classification obtaine ...... plied to flow cytometric data.
@ast
Subject classification obtaine ...... plied to flow cytometric data.
@en
type
label
Subject classification obtaine ...... plied to flow cytometric data.
@ast
Subject classification obtaine ...... plied to flow cytometric data.
@en
prefLabel
Subject classification obtaine ...... plied to flow cytometric data.
@ast
Subject classification obtaine ...... plied to flow cytometric data.
@en
P2093
P50
P356
P1433
P1476
Subject classification obtaine ...... pplied to flow cytometric data
@en
P2093
Caterina Durante
Enrico Lugli
Gianfranco Salvioli
Leonarda Troiano
Roberta Ferraresi
Valeri Patsekin
P2860
P304
P356
10.1002/CYTO.A.20387
P577
2007-05-01T00:00:00Z