Automated mapping of phenotype space with single-cell data.
about
Single cell proteomics in biomedicine: High-dimensional data acquisition, visualization and analysis.Automated cell type discovery and classification through knowledge transfer.PhenoGraph and viSNE Facilitate the Identification of Abnormal T-Cell Populations in Routine Clinical Flow Cytometric Data.Immune Checkpoint Function of CD85j in CD8 T Cell Differentiation and Aging.CymeR: cytometry analysis using KNIME, docker and R.High-resolution myogenic lineage mapping by single-cell mass cytometry.Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types.Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks.Science not art: statistically sound methods for identifying subsets in multi-dimensional flow and mass cytometry data sets.A Beginner's Guide to Analyzing and Visualizing Mass Cytometry Data.High-Dimensional Phenotypic Mapping of Human Dendritic Cells Reveals Interindividual Variation and Tissue Specialization.Inferring cell state by quantitative motility analysis reveals a dynamic state system and broken detailed balance.Fundamental limits on dynamic inference from single-cell snapshots.Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse.DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data.Cytometry TOF identifies alveolar macrophage subtypes in acute respiratory distress syndrome.Comprehensive innate immune profiling of chikungunya virus infection in pediatric casesDeep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging: A workflow for visual and quantitative analysis of flow and mass cytometry data to discover immune signatures and correlations
P2860
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P2860
Automated mapping of phenotype space with single-cell data.
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Automated mapping of phenotype space with single-cell data.
@ast
Automated mapping of phenotype space with single-cell data.
@en
type
label
Automated mapping of phenotype space with single-cell data.
@ast
Automated mapping of phenotype space with single-cell data.
@en
prefLabel
Automated mapping of phenotype space with single-cell data.
@ast
Automated mapping of phenotype space with single-cell data.
@en
P2093
P2860
P356
P1433
P1476
Automated mapping of phenotype space with single-cell data.
@en
P2093
Garry P Nolan
Kara L Davis
Nikolay Samusik
P2860
P2888
P304
P356
10.1038/NMETH.3863
P577
2016-05-16T00:00:00Z
P6179
1050756899