Base-resolution prediction of transcription factor binding signals by a deep learning framework
Fig 3
Motif prediction performance comparison of FCNsignal and the competing methods.
(A) The–log2(p-value) values for BPNet, DanQ, DeepCNN, FCNA, FCNA*, FCNsignal, MEME and STREME, and the Wilson’s test p-values (paired) between FCNsignal and other seven methods. Note that the red triangles represent the average values and the value of 0 means not finding the target. (B) Detailed view of identified TF motifs for K562. The TF motifs of the inner loop are the target ones and the motifs of the outer loop are the found ones. The size of circles corresponds to the–log2(p-value) value and different colors are used to designate different TF classes. The TF motifs marked by ‘pink’ belong to the same TF family sharing the consensus binding sequence while the ones marked by other colors are more likely the indirect TF motifs.