Fig. 5
From: Transforming L1000 profiles to RNA-seq-like profiles with deep learning
Benchmarking dexamethasone gene expression signatures with bridge plots that visualize the recovery of targets of NR3C1 as determined by ChIP-seq, given dexamethasone signatures. Signatures created from the predicted RNA-seq-like profiles are compared to the originally published L1000 signatures using only the common 11,780 genes. Unweighted walk plots comparing ranked genes from the signatures with NR3C1 target genes assembled from ChEA (A) and ENCODE (C). The same signatures are compared with weighted walks by the absolute differential expression value for each gene, normalized to fit in the range between 0 to 1 for ChIP-seq targets from (B) ChEA and (D) ENCODE