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. 2021 Feb 15;2(3):100211. doi: 10.1016/j.patter.2021.100211

Figure 5.

Figure 5

Gene-gene correlation network inferred from scRNA-seq data

(A and B) Comparison of degree (A) and PageRank (B) of each gene in the correlation networks constructed before and after noise regularization. Genes present in one network but not in the other were assigned a zero value in the non-presenting one. Selected genes with high degree/PageRank before or after noise regularization were labeled. Cell-type marker genes such as NKG7, CD79B, and HBB had relatively higher degree and PageRank after noise regularization.

(C) Network construction with refined gene-gene correlations (NBR + noise regularization + removing links not in PPI), where the node size is proportional to its PageRank and the edge width is proportional to Spearman correlation between the two genes (nodes). Cell-type marker genes (colored nodes) such as CD79A, CD79B, NKG7, GNLY, LYZ, and STMN1 have high PageRank, indicating their importance in different cell types. Cell-type-related genes also formed cell-type-specific modules.