Before revision:  The utility of network models also increases as the quantity of data and number of variables increase, as continues to happen in the genome-wide era of biomedical science. We present a DNA methylation-based measure of genomic interaction and association , and we show how to use it to infer prognostic genomic networks.
After revision:  The utility of network models also increases as the quantity of data and number of variables increase, making them increasingly relevant to large-scale genomic studies. We propose methodology to infer prognostic genomic networks from a DNA methylation-based measure of genomic interaction and association , and we show how to use it to infer prognostic genomic networks.