title: On evaluating models in Computational Morphodynamics.
abstract: Recent advances in experimental plant biology have led to an increased potential to investigate plant development at a systems level. The emerging research field of Computational Morphodynamics has the aim to lead this development by combining dynamic spatial experimental data with computational models of molecular networks, growth, and mechanics in a multicellular context. The increased number of published models may lead to a diversification of our understanding of the systems, and methods for evaluating, comparing, and sharing models are main challenges for the future. We will discuss this problem using ideas originating from physics and use recent computational models of plant development as examples.
authors: Computational Biology and Biological Physics, Lund University, Sweden. henrik@thep.lu.se
authors: Henrik
authors: H
authors: Jönsson
authors: Jérémy
authors: J
authors: Gruel
authors: Pawel
authors: P
authors: Krupinski
authors: Carl
authors: C
authors: Troein
mesh_terms: D008954:Models, Biological; D009024:Morphogenesis; D063245:Plant Development; D010937:Plant Growth Regulators / Q000378:metabolism; D010944:Plants / Q000378:metabolism; D013234:Stem Cells / Q000166:cytology / Q000378:metabolism
chemical_list: D010937:Plant Growth Regulators