Fig. 3: MINIE’s performance on nonlinear multi-omic model. | npj Systems Biology and Applications

Fig. 3: MINIE’s performance on nonlinear multi-omic model.

From: Multi-omic network inference from time-series data

Fig. 3

a Multi-omic network of genes (purple) and metabolites (green). Solid arrows depict interactions to be inferred by MINIE, while dashed arrows indicate known metabolic interactions input as prior knowledge. b Artificially-generated transcriptomic (left) and metabolomic (right) data by the BoolODE algorithm. Left: Projection of the single-cell data using PCA. The arrow shows the pseudotime trajectory estimated by MINIE. Right: Bulk metabolic concentrations (dots) and inferred metabolomic trajectories (dashed lines) using the mapping Γ. c Histogram of predicted probability values for the existence of each link, where true positive links are represented by a dark shade. d Reconstructed network based on predicted probabilities for ε = 0.4. The true links (solid green), false positives (dotted grey), and false negatives (solid grey) are represented by arrows weighted according to the confidence value predicted by MINIE.

Back to article page