viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
Citations
5,506 citations
4,119 citations
3,365 citations
3,343 citations
Cites methods from "viSNE enables visualization of high..."
...Specifically, SCANPY provides preprocessing comparable to SEURAT [10] and CELL RANGER [6], visualization through TSNE [11, 12], graph-drawing [13– 15] and diffusion maps [11, 16, 17], clustering similar *Correspondence: alex.wolf@helmholtz-muenchen.de; fabian.theis@helmholtz-muenchen.de 1Helmholtz Zentrum München – German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg, Munich, Germany 2Department of Mathematics, Technische Universität München, Munich, Germany to PHENOGRAPH [18–20], identification of marker genes for clusters via differential expression tests and pseudotemporal ordering via diffusion pseudotime [21], which compares favorably [22] with MONOCLE 2 [22], and WISHBONE [23] (Fig....
[...]
...Parts of the toolkit rely on SCIKIT-LEARN [27], STATSMODELS [38], SEABORN [39], NETWORKX [28], IGRAPH [14], the TSNE package of [40], and the Louvain clustering package of [41]....
[...]
...Specifically, SCANPY provides preprocessing comparable to SEURAT [10] and CELL RANGER [6], visualization through TSNE [11, 12], graph-drawing [13– 15] and diffusion maps [11, 16, 17], clustering similar...
[...]
...We use pseudotemporal ordering from a root cell in the CD34+ cluster and detect a branching trajectory, visualized with TSNE and diffusion maps. b Speedup over CELL RANGER R kit....
[...]
...TSNE and graph-drawing (Fruchterman–Reingold) visualizations show cell-type annotations obtained by comparisons with bulk expression....
[...]
3,016 citations
References
30,124 citations
13,519 citations
11,528 citations
11,078 citations
2,147 citations