PARC: ultrafast and accurate clustering of phenotypic data of millions of single cells

Shobana V. Stassen, Dickson M. D. Siu, Kelvin C. M. Lee, Joshua W. K. Ho, Hayden K. H. So, Kevin K. Tsia

Abstract: New single-cell technologies continue to fuel the explosive growth in the scale of heterogeneous single-cell data. However, existing computational methods are inadequately scalable to large datasets and therefore cannot uncover the complex cellular heterogeneity.