Fig. 6: Benchmark of MINIE using the BEELINE pipeline. | npj Systems Biology and Applications

Fig. 6: Benchmark of MINIE using the BEELINE pipeline.

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

Fig. 6

a Performance on BEELINE synthetic networks. Each column corresponds to a different network motif, while rows represent GRN inference methods. The performance scores are averaged over the 20 datasets with 2000 and 5000 cells generated in the original study40. The GRN inference methods are ordered in descending order based on the median value of their median AUPRC ratios across all motifs. b Performance on BEELINE curated networks. The two sets of columns represent the EPR and median AUPRC ratios. The curated networks include mCAD (mammalian cortical area development), VSC (ventral spinal cord), HSC (hematopoietic stem cell differentiation), and GSD (gonadal sex determination). The performance scores are averaged over the 10 datasets without considering dropouts. The performance values included in this figure, except for MINIE's, are obtained from ref. 40.

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