about
Flow cytometry bioinformaticsBAIT: Organizing genomes and mapping rearrangements in single cellsScoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosisData reduction for spectral clustering to analyze high throughput flow cytometry dataIdentification of a novel gene (HSN2) causing hereditary sensory and autonomic neuropathy type II through the Study of Canadian Genetic IsolatesMIFlowCyt: the minimum information about a Flow Cytometry ExperimentComplete nucleotide sequence of Saccharomyces cerevisiae chromosome VIIIStandardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping ConsortiumPromoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI projectEvidence for a modifier of onset age in Huntington disease linked to the HD gene in 4p16.A worldwide assessment of the frequency of suicide, suicide attempts, or psychiatric hospitalization after predictive testing for Huntington disease.A genome scan for modifiers of age at onset in Huntington disease: The HD MAPS study.flowClust: a Bioconductor package for automated gating of flow cytometry data.Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays.Critical assessment of automated flow cytometry data analysis techniques.Enhanced flowType/RchyOptimyx: a BioConductor pipeline for discovery in high-dimensional cytometry dataflowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification.Deep profiling of multitube flow cytometry data.Data standards for flow cytometry.Data quality assessment of ungated flow cytometry data in high throughput experiments.Use FlowRepository to Share Your Clinical Data upon Study Publication.High-content flow cytometry and temporal data analysis for defining a cellular signature of graft-versus-host disease.Automated gating of flow cytometry data via robust model-based clustering.Evaluating flow cytometer performance with weighted quadratic least squares analysis of LED and multi-level bead data.Data File Standard for Flow Cytometry, version FCS 3.1.Analysis of High-Throughput Flow Cytometry Data Using plateCoreA survey of flow cytometry data analysis methodsRecent bioinformatics advances in the analysis of high throughput flow cytometry data.Merging mixture components for cell population identification in flow cytometryOntoFox: web-based support for ontology reuseRapid cell population identification in flow cytometry dataFlow cytometry data standards.Bim regulates alloimmune-mediated vascular injury through effects on T-cell activation and death.flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry dataThe luminal progenitor compartment of the normal human mammary gland constitutes a unique site of telomere dysfunction.Correlation analysis of intracellular and secreted cytokines via the generalized integrated mean fluorescence intensity.Properties of CD34+ CML stem/progenitor cells that correlate with different clinical responses to imatinib mesylateImmune biomarkers predictive of respiratory viral infection in elderly nursing home residents.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).Integration of lyoplate based flow cytometry and computational analysis for standardized immunological biomarker discovery.
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onderzoeker
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Ryan R Brinkman
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Ryan R Brinkman
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Ryan R Brinkman
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Ryan R Brinkman
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Ryan R Brinkman
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Ryan R Brinkman
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Ryan R Brinkman
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Ryan R Brinkman
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Ryan R Brinkman
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P108
P1053
B-1108-2008
P106
P108
P2456
P31
P3829
P496
0000-0002-9765-2990