Improved gene regulatory network inference from single cell data with dropout augmentation
Fig 3
Comparison of 100 runs of DeepSEM-1x and DAZZLE-1x on hESC evaluated using the STRING network.
In DeepSEM-1x, the prioritization of the L1 sparsity control at early stage is the main cause of unstable GRN inference performance. DAZZLE solves this issue by delaying the introduction of the L1 sparse loss by 5 iterations. a) Histogram of AUPRC ratios. b) Sparse loss over time for DeepSEM-1X, colored by AUPRR at convergence. c) Sparse loss over time for DAZZLE-1x, colored by AUPRR at convergence.