Before revision:  We propose a new approach, using Chromatin feature Assortativity (ChAs), to integrate the epigenomic landscape of a specific cell type with its chromatin interaction network . Results: We use high-resolution Promoter Capture Hi-C and Hi-Cap data as well as ChIA-PET data from  embryonic stem cells to generate promoter-centered interaction networks. We calculate the presence of a collection of 78 chromatin features in the chromatin fragments constituting the nodes of the network.
After revision:  We propose a new approach, using Chromatin feature Assortativity (ChAs), to integrate the epigenomic landscape of a specific cell type with its chromatin interaction network . Results: We use high-resolution Promoter Capture Hi-C and Hi-Cap data as well as ChIA-PET data from embryonic stem cells to generate promoter-centered chromatin interaction networks and calculate the presence of a collection of 78 chromatin features in the chromatin fragments constituting the nodes of the network.