Table 1.

Prediction accuracy of the DA-RNN for different gene regulatory network architectures. The network types are those described in Section 3.2, where $n_r$ and $n_a$ indicate the mean number of repressors and activators per gene, respectively. We report the mean and standard deviation of the root-mean-square error (RMSE) computed over all the genes in each network.

Network	Mean (RMSE)	Std (RMSE)
FullyConnected	0.12	0.04
FullyRepressed	0.67	0.08
MasterRegulator	0.83	0.04
SparseConnection	0.14	0.05
mediumConnection	0.35	0.23
Oscillating_nr1_na1	0.22	0.11
Oscillating_nr5_na5	0.23	0.13
Oscillating_nr10_na10	0.30	0.17
Oscillating_nr15_na15	0.12	0.09
ExternalSignal_nr1_na1	0.29	0.20
ExternalSignal_nr5_na5	0.39	0.28
ExternalSignal_nr10_na10	0.09	0.06