Fig. 4: Integrative regulatory inference in peripheral blood mononuclear cells.
From: Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
a, GLUE regulatory scores for peak–gene pairs across different genomic ranges, grouped by whether they had pcHi-C support. The box plots indicate the medians (centerlines), means (triangles), first and third quartiles (bounds of boxes) and 1.5× interquartile range (whiskers). b, Comparison between the GLUE regulatory scores and the empirical peak–gene correlations computed on paired cells. Peak–gene pairs are colored by whether they had pcHi-C support. c, Receiver operating characteristic curves for predicting pcHi-C interactions based on different peak–gene association scores. AUROC is the area under the receiver operating characteristic curve. d,e, GLUE-identified cis-regulatory interactions of NCF2 (d) and CD83 (e), along with individual regulatory evidence. SPI1 (highlighted with a green box) is a known regulator of NCF2.
