Data reduction for spectral clustering to analyze high throughput flow cytometry data
about
Flow cytometry bioinformaticsScoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosisAn Introduction to Automated Flow Cytometry Gating Tools and Their ImplementationA deep profiler's guide to cytometrySingle-cell gene expression profiling and cell state dynamics: collecting data, correlating data points and connecting the dotsInferring phenotypic properties from single-cell characteristicsGenePattern flow cytometry suiteCritical assessment of automated flow cytometry data analysis techniques.Application of user-guided automated cytometric data analysis to large-scale immunoprofiling of invariant natural killer T cellsAutomatic B cell lymphoma detection using flow cytometry data.NetFCM: a semi-automated web-based method for flow cytometry data analysis.flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification.Computational prediction of manually gated rare cells in flow cytometry dataMethods for discovery and characterization of cell subsets in high dimensional mass cytometry dataMapping cell populations in flow cytometry data for cross-sample comparison using the Friedman-Rafsky test statistic as a distance measureUnfold High-Dimensional Clouds for Exhaustive Gating of Flow Cytometry Data.Automated mapping of phenotype space with single-cell data.Visualization and cellular hierarchy inference of single-cell data using SPADE.Single and multi-subject clustering of flow cytometry data for cell-type identification and anomaly detectionRapid cell population identification in flow cytometry dataFlow cytometry data standards.Automated identification of stratifying signatures in cellular subpopulationsAutomated analysis of multidimensional flow cytometry data improves diagnostic accuracy between mantle cell lymphoma and small lymphocytic lymphoma.Extracting a cellular hierarchy from high-dimensional cytometry data with SPADESetting objective thresholds for rare event detection in flow cytometry.A computational framework to emulate the human perspective in flow cytometric data analysis.RchyOptimyx: cellular hierarchy optimization for flow cytometry.Computational analysis of high-throughput flow cytometry dataUnifying immunology with informatics and multiscale biology.Multidimensional Clusters of CD4+ T Cell Dysfunction Are Primarily Associated with the CD4/CD8 Ratio in Chronic HIV InfectionBayesFlow: latent modeling of flow cytometry cell populationsCompetitive SWIFT cluster templates enhance detection of aging changesImmunophenotype Discovery, Hierarchical Organization, and Template-Based Classification of Flow Cytometry Samples.An introduction to mass cytometry: fundamentals and applications.Shortcomings in the application of multicolour flow cytometry in lymphocyte subsets enumeration.SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, part 1: algorithm designData-analysis strategies for image-based cell profiling.Toward deterministic and semiautomated SPADE analysis.FloReMi: Flow density survival regression using minimal feature redundancy.Consistent quantitative gene product expression: #1. Automated identification of regenerating bone marrow cell populations using support vector machines.
P2860
Q21045422-AF530877-054A-4E3D-BE85-825F16CB3DCCQ21266659-00D92C5F-39EC-4CEA-B41B-74177B74C71CQ26797342-83F1AA38-E49B-409D-88FF-6E8E365964E0Q26824238-C5B218CF-5CD6-4AF8-8972-9CD2A8C9C594Q28078834-8AF70D67-658E-4C6E-8E21-993B657E010AQ28729182-9A32671C-02A0-4030-9E24-8731A023FC7FQ30177554-2989F9E1-BA63-4FBA-B283-2266A94901B2Q30587564-AAF15D35-297C-42A1-883F-D3FDF2C6D19FQ30689010-2591F3A9-AF75-4BB5-8C56-67C9415E9113Q30763143-2D98877D-A661-486D-94F2-DA90A960C3AEQ30837588-24A7A9F2-F7E1-4C84-9D87-DD064CFD899DQ30868322-4C66F9DC-5A98-4187-AD9F-AF2145F796B0Q30907811-8B1A9756-CDDE-4F40-9BC0-72830E050D3FQ30952528-740A854B-2505-43DD-8E88-7D1A6F9DE960Q30987350-ACFDF71D-3B56-4CC8-88A9-FCD4447C24FCQ30992733-8008B759-3EA1-4844-ACC3-DEEF6E0ECE25Q31096376-B2BC9F6E-3F44-4CAA-B13F-12EE6D0DD36AQ31108504-3DB782EC-4D0B-443C-A9AF-F30A49B32103Q31120977-0417A2D1-6019-4AB9-9B24-6B3A596FE610Q33779332-4138AEB0-8B00-4836-898B-C9611B5AA30CQ33840165-4F84736D-013D-4760-ADF1-F6B65C65FE85Q33854094-5C3E933F-9708-4B2F-8B98-FAB887C82195Q33875380-29069C41-406C-4F69-AF46-F63EC4967545Q34037159-64B8B3A9-9D48-49BA-BC76-C56CE56C8002Q34067006-6B505BC1-DDC8-4BE0-8CB4-13DA48B3E550Q34260007-4347F567-490A-4F67-A43B-1458689B588AQ34304477-FBB5A806-A926-4FE5-9BC8-976C2F993DD2Q34307823-255E643A-FFFC-435D-9312-0E1DE8771EA7Q35134186-AC3DB1BF-0C12-4194-9AA4-A5C8297F76BDQ35786633-090342FA-7C70-4A29-9C3A-718896B415A5Q35891316-00002189-EEAD-446B-AB5F-C27BAF78F736Q36533352-D2C25F16-7C2F-4F31-80CD-FBE875CF25C6Q37219725-4B9FF38E-7AEB-486C-A16D-E326B21DBA5DQ38096936-EA643821-D27F-48D6-A518-D691606058B8Q38169211-5A584D95-1FE0-424D-8955-ED7559A59ED9Q38433447-035CF604-5186-49F9-887E-644CAE630E4EQ38600105-1B8F309C-C834-4A9F-889C-8471983020C0Q38943945-C9B7387F-AFD7-45A4-8EE2-A1722C372E74Q38977557-56FD9E18-E55A-4AD4-AD08-14991E998389Q39602284-1204DAB7-EBBF-4138-BAA4-1483FD54B99C
P2860
Data reduction for spectral clustering to analyze high throughput flow cytometry data
description
2010 nî lūn-bûn
@nan
2010 թուականին հրատարակուած գիտական յօդուած
@hyw
2010 թվականին 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 reduction for spectral clustering to analyze high throughput flow cytometry data
@ast
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@en
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@en-gb
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@nl
type
label
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@ast
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@en
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@en-gb
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@nl
prefLabel
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@ast
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@en
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@en-gb
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@nl
P2860
P3181
P356
P1433
P1476
Data reduction for spectral clustering to analyze high throughput flow cytometry data
@en
P2093
Arvind Gupta
Parisa Shooshtari
P2860
P2888
P3181
P356
10.1186/1471-2105-11-403
P407
P577
2010-01-01T00:00:00Z
P5875
P6179
1012240060