Before revision:  Here we present a novel stochastic dynamical systems model that predicts gene expression levels from methylation data of genes in a given GRN  . Software for dataset preparation, model parameter fitting and prediction generation, and reporting are available at URL
After revision:  Here we present a novel stochastic dynamical systems model that predicts gene expression levels from methylation data of genes in a given GRN . We provide an evaluation of the model using real patient data and a GRN created from robust reference sources . Software for dataset preparation, model parameter fitting and prediction generation, and reporting are available at URL