End Sequence Analysis Toolkit (ESAT) expands the extractable information from single-cell RNA-seq data

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Figure 5.
Figure 5.

Single-cell analysis of rat pancreatic islets. (A) Summary of the study. (B) Two-dimensional view of a nine-component independent component analysis (ICA) projection using t-distributed stochastic neighbor embedding (t-SNE). Cells are colored according the clusters obtained after spectral clustering (Methods) of the nine-component ICA projection. (C) Violin plots showing the distribution of hormone expression across cells in each cluster.

This Article

  1. Published in Advance July 28, 2016, doi: 10.1101/gr.207902.116 Genome Res. 26: 1397-1410

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