  Morphogenesis is the biological process that causes the emergence and changes
of patterns (tissues and organs) in living organisms. It is a robust,
self-organising mechanism, governed by Genetic Regulatory Networks (GRN), that
hasn't been thoroughly understood. In this work we propose Epigenetic Forests
as a tool to study morphogenesis and to extract valuable information from GRN.
Our method unfolds the richness and structure within the GRN.
  As a case study, we analyze the GRN during cell fate determination during the
early stages of development of the flower Arabidopsis thaliana and its spatial
dynamics. By using a genetic algorithm we optimize cell differentiation in our
model and correctly recover the architecture of the flower.
