Signals from the environment set off a cascade of changes that affect different genes in different ways. Therefore, traditionally, it has been difficult to study how such signals influence an organism. In a new study, researchers have developed a machine-learning approach called FUN-PROSE to predict how genes react to different environmental conditions.
