We are launching a high-risk high-gain project in the field of computational epigenetics: Our aim is to develop computational methods to infer upstream regulators of DNA methylation from matched gene expression and DNA methylation data, using a combination ML, network-based modeling, and classical bioinformatics pipelines. If such upstream regulators exist at all is currently unclear, but if they do, they would constitute a new functional class of proteins that not only regulate a fundamental biological program but are also putative targets for novel therapies in diseases driven ...