Using a mathematical
model known as the Ising
model, invented to describe phase transitions in statistical physics, such as how a substance changes from liquid to gas, the Johns Hopkins researchers calculated the probability distribution of methylation along the genome in several
different human cell
types, including normal and cancerous colon, lung and liver cells, as well as brain, skin,
blood and embryonic stem cells.