scFAN is a deep learning model that predicts the probability of a TF binding at a given genomic region, with inputs of ATAC-seq, DNA sequence, and DNA mapability data from that region.
Fu, Laiyi, Lihua Zhang, Emmanuel Dollinger, Qinke Peng, Qing Nie, and Xiaohui Xie. "Predicting transcription factor binding in single cells through deep learning." Science Advances 6, no. 51 (2020): eaba9031.