Figure 6.

Impact of noise addition on time series gene expression prediction for different GRN architectures. (A): Matrices of the mean square error (MSE) on the prediction by the DA-RNN, for an oscillating GRN with 10 repressors and activators per gene on average (left) and a GRN controlled by a master regulator (right). Rows (genes) are ranked according to the mean of the MSE (last column). (B): Dendrogram obtained from the hierarchical clustering of the matrix summarizing the response of the prediction to noise for each gene regulatory network. (C,D): PCA showing the 12 GRNs used and their partition in clusters.