Quantitative Comparison of Conventional and t-SNE-guided Gating Analyses
Dimensionality reduction using the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm has emerged as a popular tool for visualizing high-parameter single-cell data. While this approach has obvious potential for data visualization it remains unclear how t-SNE analysis compares to conventio...
Main Authors: | Shadi Toghi Eshghi, Amelia Au-Yeung, Chikara Takahashi, Christopher R. Bolen, Maclean N. Nyachienga, Sean P. Lear, Cherie Green, W. Rodney Mathews, William E. O'Gorman |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-06-01
|
Series: | Frontiers in Immunology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fimmu.2019.01194/full |
Similar Items
-
Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations
by: Kyra van der Pan, et al.
Published: (2023-05-01) -
A 40-Marker Panel for High Dimensional Characterization of Cancer Immune Microenvironments by Imaging Mass Cytometry
by: Marieke E. Ijsselsteijn, et al.
Published: (2019-10-01) -
Application of Machine Learning for Cytometry Data
by: Zicheng Hu, et al.
Published: (2022-01-01) -
Relevance of TMPRSS2, CD163/CD206, and CD33 in clinical severity stratification of COVID-19
by: Silvia Martínez-Diz, et al.
Published: (2023-03-01) -
Variation of Immune Cell Responses in Humans Reveals Sex-Specific Coordinated Signaling Across Cell Types
by: Gabriela K. Fragiadakis, et al.
Published: (2022-03-01)