ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

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11.2K Views

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05:12 min

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January 16th, 2019

DOI :

10.3791/57473-v

January 16th, 2019

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John-William Sidhom¹^,²^,³, Debebe Theodros¹^,²^,⁴, Benjamin Murter¹^,², Jelani C. Zarif¹^,², Sudipto Ganguly¹^,², Drew M. Pardoll¹^,², Alexander Baras¹^,²^,⁵

¹The Bloomberg~Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, ²The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, ³Department of Biomedical Engineering, Johns Hopkins University School of Medicine, ⁴Department of Immunology, Johns Hopkins University School of Medicine, ⁵Department of Pathology, Johns Hopkins University School of Medicine

Podsumowanie

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Keywords Cytometry

High dimensional Analysis

T SNE

Clustering

Cell Populations

Marker specific Analysis

Rozdziały w tym wideo

0:04

Title

0:24

t-SNE Distributed Stochastic Neighbor Embedding (SNE)

1:30

Cluster Analysis, Filtration, and Visualization

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Results: Representative Recapitulation of Myeloid and Lymphoid Sub-Population Data

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Conclusion

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