RchyOptimyx: cellular hierarchy optimization for flow cytometry.
about
Flow cytometry bioinformaticsAlgorithmic Tools for Mining High-Dimensional Cytometry DataCritical assessment of automated flow cytometry data analysis techniques.Enhanced flowType/RchyOptimyx: a BioConductor pipeline for discovery in high-dimensional cytometry dataDeep profiling of multitube flow cytometry data.Visualization and cellular hierarchy inference of single-cell data using SPADE.Understanding health and disease with multidimensional single-cell methodsSingle-cell technologies for monitoring immune systems.Studying the human immunome: the complexity of comprehensive leukocyte immunophenotyping.Computational analysis of high-throughput flow cytometry dataIntegration of lyoplate based flow cytometry and computational analysis for standardized immunological biomarker discovery.From cellular characteristics to disease diagnosis: uncovering phenotypes with supercells.CCAST: a model-based gating strategy to isolate homogeneous subpopulations in a heterogeneous population of single cellsA harmonized approach to intracellular cytokine staining gating: Results from an international multiconsortia proficiency panel conducted by the Cancer Immunotherapy Consortium (CIC/CRI)Competitive SWIFT cluster templates enhance detection of aging changesThinking outside the gate: single-cell assessments in multiple dimensionsA benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.An introduction to mass cytometry: fundamentals and applications.Exploring Glucocorticoid Receptor Agonists Mechanism of Action Through Mass Cytometry and Radial Visualizations.Guidelines for the use of flow cytometry and cell sorting in immunological studies.A dominant-negative isoform of IKAROS expands primitive normal human hematopoietic cells.Multi-parametric cytometry from a complex cellular sample: Improvements and limits of manual versus computational-based interactive analyses.New colors and lights to illuminate cell biology.Cytometry for immunology: a stable and happy marriage.High Throughput Automated Analysis of Big Flow Cytometry Data.Analyses of large flow cytometry datasets.
P2860
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P2860
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
description
2012 nî lūn-bûn
@nan
2012 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@ast
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@en
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@nl
type
label
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@ast
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@en
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@nl
prefLabel
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@ast
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@en
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@nl
P2093
P2860
P50
P356
P1433
P1476
RchyOptimyx: cellular hierarchy optimization for flow cytometry.
@en
P2093
Adrin Jalali
Mario Roederer
Nima Aghaeepour
Ryan R Brinkman
P2860
P304
P356
10.1002/CYTO.A.22209
P577
2012-10-08T00:00:00Z