Interactive Visual Analysis of Mass Cytometry Data by Hierarchical Stochastic Neighbor Embedding Reveals Rare Cell Types
Vincent van Unen, Thomas Höllt, Nicola Pezzotti, Na Li, Marcel J. T. Reinders, Elmar Eisemann, Frits Koning, Anna Vilanova, Boudewijn P. F. Lelieveldt
The paper introduces HSNE for analyzing mass cytometry data, revealing rare cell types and overcoming t-SNE's scalability limitations.
Nature Communications · Nov 17, 2017Peer-reviewedBioinformatics