Data analysis in flow cytometry: the future just started.
about
Flow cytometry bioinformaticsData reduction for spectral clustering to analyze high throughput flow cytometry dataEuroFlow standardization of flow cytometer instrument settings and immunophenotyping protocolsAlgorithmic Tools for Mining High-Dimensional Cytometry DataIntraocular lymphoma: a clinical perspectiveInherent low Erk and p38 activity reduce Fas Ligand expression and degranulation in T helper 17 cells leading to activation induced cell death resistanceQuantitative characterization of cellular membrane-receptor heterogeneity through statistical and computational modelingAnti-TNF-α Drugs Differently Affect the TNFα-sTNFR System and Monocyte Subsets in Patients with PsoriasisGenePattern flow cytometry suiteiNKT Cells in Secondary Progressive Multiple Sclerosis Patients Display Pro-inflammatory Profiles.Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays.Graphical analysis of flow cytometer data for characterizing controlled fluorescent protein display on λ phage.Critical assessment of automated flow cytometry data analysis techniques.Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric dataMCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.The end of gating? An introduction to automated analysis of high dimensional cytometry data.Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data.T-cell activation discriminates subclasses of symptomatic primary humoral immunodeficiency diseases in adultsUnderstanding health and disease with multidimensional single-cell methodsRapid cell population identification in flow cytometry dataHigh-dimensional CyTOF analysis of dengue virus-infected human DCs reveals distinct viral signaturesAn automated analysis of highly complex flow cytometry-based proteomic data.Multivariate analysis of flow cytometric data using decision treesMatching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometryA computational framework to emulate the human perspective in flow cytometric data analysis.Preparing a Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) compliant manuscript using the International Society for Advancement of Cytometry (ISAC) FCS file repository (FlowRepository.org).SPICE: exploration and analysis of post-cytometric complex multivariate datasetsLeukemia prediction using sparse logistic regression.The human condition: an immunological perspective.High Reproducibility of ELISPOT Counts from Nine Different Laboratories.Complexity and challenges in defining myeloid-derived suppressor cellsUncompensated Polychromatic Analysis of Mitochondrial Membrane Potential Using JC-1 and Multilaser Excitation.Multidimensional Clusters of CD4+ T Cell Dysfunction Are Primarily Associated with the CD4/CD8 Ratio in Chronic HIV InfectionAdenosine A1 receptors contribute to immune regulation after neonatal hypoxic ischemic brain injury.PD-1 Blockade Expands Intratumoral Memory T Cells.Evaluation of the reactive T-cell infiltrate in uveitis and intraocular lymphoma with flow cytometry of vitreous fluid (an American Ophthalmological Society thesis).Cellular Microbiology of Mycoplasma canis.Immunophenotype Discovery, Hierarchical Organization, and Template-Based Classification of Flow Cytometry Samples.Asymmetric-detection time-stretch optical microscopy (ATOM) for ultrafast high-contrast cellular imaging in flow.Flow cytometric characterization of cerebrospinal fluid cells.
P2860
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P2860
Data analysis in flow cytometry: the future just started.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Data analysis in flow cytometry: the future just started.
@ast
Data analysis in flow cytometry: the future just started.
@en
type
label
Data analysis in flow cytometry: the future just started.
@ast
Data analysis in flow cytometry: the future just started.
@en
prefLabel
Data analysis in flow cytometry: the future just started.
@ast
Data analysis in flow cytometry: the future just started.
@en
P2860
P356
P1433
P1476
Data analysis in flow cytometry: the future just started.
@en
P2093
Enrico Lugli
Mario Roederer
P2860
P304
P356
10.1002/CYTO.A.20901
P577
2010-07-01T00:00:00Z