Before revision:  This problem could be overcome by deep neuron network (DNN) . Choosing pattern formation of the gap genes in Drosophila early embryogenesis as an example, we established a differential equation model whose synthesis term is expressed as a DNN. The model yields perfect fitting and impressively accurate predictions on mutant patterns. We further mapped the trained DNN into a simplified conventional regulation network, which is consistent with the existing body of knowledge. The DNN model could lay a foundation of "in-silico-embryo", which can regenerate a great variety of interesting phenomena, and on which one can perform all kinds of perturbations to discover underlying mechanisms.
After revision:  This problem could be overcome by deep neuron network (DNN) , a form of machine learning or artificial intelligence. Specifically, the DNN model could lay a foundation of "in-silico-embryo", which can regenerate a great variety of interesting phenomena, and on which one can perform all kinds of perturbations to discover underlying mechanisms.