OMIP‐037: 16‐color panel to measure inhibitory receptor signatures from multiple human immune cell subsets

21 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization (2020, background): “, 2017), 20 NewsGroups (Lang, 1995), Flow cytometry (Belkina and Snyder-Cappione, 2017), and KDD Cup 99 (Stolfo et al.”
Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets (2019, methodology): “While opt-SNE and t-SNE both capture the macro-structure illustrated by gene overlays, several Louvain clusters (3, 18, 19, 25, 28) appear partially or completely overlapped by other clusters in standard t-SNE but not in the opt-SNE embedding.”
Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets (2018, methodology): “…we used a 20.1 x 10 6 event fluorescent cytometry dataset concatenated from two independent batches of PBMC samples (N=27) stained with a variation of the OMIP-037 fluorescent cytometry panel 18 that allows detailed assessment of naïve and memory CD4+ and CD8+ T cells, NK cells and gd T cells (Fig.”