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Motivation: An accurate characterization of transcription factor (TF)-DNA affinity landscape is crucial to a quantitative understanding of the molecular mechanisms underpinning endogenous gene regulation. While recent advances in biotechnology have brought the opportunity for building binding affinity prediction methods, the accurate characterization of TF-DNA binding affinity landscape still remains a challenging problem. Results: Here we propose a novel sequence embedding approach fordoi:10.1093/bioinformatics/btx480 pmid:28961686 pmcid:PMC5870668 fatcat:upgk3pfk7fa4vgymswouqbxh7i