Fig. 2

(Left) Clustering the scRNA-seq data reveals ten clusters of which seven are hepatocyte cells. We visualise the cells in a two-dimensional space as obtained from a t-distributed stochastic neighbour embedding (t-SNE) of their original high-dimensional space [37], which is defined by the expression of the d=6983 genes. (Middle) For each cluster, we perform DEGs analysis to identify genes that most differentially expressed in a given cluster. Here, we show DEGs for hepatocyte cluster 6 (H6). (Right) We use SCPPIN to integrate the p-values from DEGs analysis with the PPIN and identify a functional module for the H6 cluster. We find genes that are significantly differentially expressed (p<0.05; disks) and proteins that are not strongly differentially expressed (p≥0.05; squares). Colour indicates p-value from low (white) to high (purple)