Fig. 6
From: ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq data
2D embedding of the entire human chromatin network estimated by ChromNet. The spatial proximity of nodes and node groups reflects the strength of their inferred edge weights. In three views of this embedding, we have highlighted three different aspects: a Specific regulatory factors discussed in this article. b Data sets from the three ENCODE tier 1 cell types, showing a separation of data sets by cell type. c Correlation with five Segway genome annotation labels. We only colored the data sets from cell types where the Ensembl Regulatory Build had a corresponding Segway annotation. Node size represents correlation with a label, in comparison to all other nodes assigned to that label