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Immunology and Infection

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超 cyt: 一种用于简化高维细胞学数据分析的图形用户界面

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Immunology and Infection

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JoVE Journal Immunology and Infection

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

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超 cyt: 一种用于简化高维细胞学数据分析的图形用户界面

DOI:

10.3791/57473-v

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05:12 min

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January 16, 2019

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John-William Sidhom^2,3, Debebe Theodros^2,4, Benjamin Murter², Jelani C. Zarif², Sudipto Ganguly², Drew M. Pardoll², Alexander Baras^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

Chapters

00:04Title
00:24t-SNE Distributed Stochastic Neighbor Embedding (SNE)
01:30Cluster Analysis, Filtration, and Visualization
03:22Results: Representative Recapitulation of Myeloid and Lymphoid Sub-Population Data
04:53Conclusion

Summary

Automatic Translation

excyt 是一种基于 matlab 的图形用户界面 (gui), 允许用户通过常用的高维数据分析技术分析他们的流式细胞术数据, 包括通过 t-SNE 降低维数, 各种自动化和手动聚类分析方法、热图和新颖的高维流图。

Tags

Cytometry High-dimensional Analysis T-SNE Clustering Cell Populations Marker-specific Analysis Threshold Heat Map Box Plot Flow Plot

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