Using attentive gated neural networks to quantify the impact of non-coding variants on transcription factor binding affinity
Neel A Patel, Haimeng Bai, William S. Bush
This paper introduces AGNet models to predict TF binding affinity and shows they outperform CNNs and variant annotation tools in classifying impactful non-coding variants.