Predicting Cell Populations in Single Cell Mass Cytometry Data-Reference-Cited by-同舟云学术

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Predicting Cell Populations in Single Cell Mass Cytometry Data

Published:2019-03-12 Issue:7 Volume:95 Page:769-781
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Abdelaal Tamim¹²,Unen Vincent³,Höllt Thomas²⁴,Koning Frits³,Reinders Marcel J.T.¹²,Mahfouz Ahmed¹²

Affiliation:

1. Delft Bioinformatics LabDelft University of Technology Delft 2628 XE The Netherlands

2. Leiden Computational Biology CenterLeiden University Medical Center Leiden 2333 ZC The Netherlands

3. Department of Immunohematology and Blood TransfusionLeiden University Medical Center Leiden 2333 ZA The Netherlands

4. Computer Graphics and VisualizationDelft University of Technology Delft 2628 XE The Netherlands

Funder

European Commission of a H2020 MSCA

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.23738

Reference31 articles.

1. Mass Cytometry: Technique for Real Time Single Cell Multitarget Immunoassay Based on Inductively Coupled Plasma Time-of-Flight Mass Spectrometry

2. Mass Cytometry: Single Cells, Many Features

3. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia

4. Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis

5. An Immune Atlas of Clear Cell Renal Cell Carcinoma

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