Extended Data Fig. 10: Saturation behavior of TSS activity predictions by Enformer in various cell lines.
From: Interpreting cis-regulatory interactions from large-scale deep neural networks
The results from a CRE Multiplicity Test applied to sequences from enhancing context (left) and silencing context (right) in a–c. Each line represents a particular enhancer or silencer CRE embedded into shuffled sequences at optimal positions (according to a Greedy Search) versus the copy number of the CRE in the sequence. The number of enhancers in each plot in a–c is 200, the number of silencers is 200, 78, 90 in a–c, respectively. The normalized TSS effect represents the predicted TSS activity of the mutated sequence divided by the control, which is the shuffled sequence with the TSS tile and the CRE in their original positions. The average across all CREs is shown with a thicker line and the shaded region represents the standard deviation of the mean.
