Figure 7
From: Reverse engineering module networks by PSO-RNN hybrid modeling
The description of a GRN by a RNN model. A: A fully connected RNN model, where the output of each neuron is fed back to its input after a unit delay and is connected to other neurons. It can be used as a simple form mimicking a NM, where a gene cluster or a TF is represented by a neuron. B: Details of a single recurrent neuron.