Basset initial convolutional layer discovers known and novel sequence motifs. (A) In the scatter plot, the x-axis describes the information content for the PWMs represented by the 300 first layer convolution filters (Methods). The y-axis describes an influence score, which we compute by setting all output from the filter to its mean (thus nullifying the filter) and taking the sum of squares of the vector of accessibility prediction changes over all cells. We colored filters by whether or not they could be annotated at a q-value threshold of 0.1 by the TomTom motif comparison tool to known TF motifs in the human CIS-BP database. (B) Overall, 45% of filters could be annotated, including the alignments shown here. (C) Clustering the filters by their influence on accessibility predictions in each cell type revealed this set matching TP63, GRHL1, and KLF factors, which are known to be involved in epithelial development.
