Interactive Visual Analysis of Mass Cytometry Data by Hierarchical Stochastic Neighbor Embedding Reveals Rare Cell Types
Vincent van Unen(Leiden University Medical Center), Boudewijn P. F. Lelieveldt(Leiden University Medical Center), Thomas Höllt(Delft University of Technology), Nicola Pezzotti(Delft University of Technology), Elmar Eisemann(Delft University of Technology), Marcel Reinders(Leiden University), Frits Koning(Leiden University Medical Center), Anna Vilanova(Eindhoven University of Technology), Na Li(Kunming University of Science and Technology)
Cited by 3
Related Papers
Eleven grand challenges in single-cell data science
|Genome biology|2020|1.5k
Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiation
|Molecular Cell|2010|1.1k
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
|Unknown|2006|851
A comparison of automatic cell identification methods for single-cell RNA sequencing data
|Genome biology|2019|701
Narcolepsy — clinical spectrum, aetiopathophysiology, diagnosis and treatment
|Nature Reviews Neurology|2019|634