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Learning and interpreting the gene regulatory grammar in a deep learning framework

Fig 5

Regulatory grammar can be learned by ResNet when TFBSs are outside of regulatory grammars and there is heterogeneity in the regulatory sequence categories.

(a) Sum of saliency values for TFBSs in each regulatory grammar across neurons in penultimate layer. (b) Actual labels of simulated regulatory grammar of the TFBS overlaid on t-SNE visualization of TFBS saliency values across neurons. (c) Actual labels of simulated regulatory grammar of the TFBS filtered to only those in the top 10% sum of saliency values across neurons in penultimate layer overlaid on the t-SNE visualization. (d) The sensitivity of predicted labels in (c) across regulatory grammars.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1008334.g005