Article

Using attentive gated neural networks to quantify the impact of non-coding variants on transcription factor binding affinity

2021-08-02

Abstract excerpt

A large proportion of non-coding variants are present within binding sites of transcription factors(TFs), which play a significant role in gene regulation. Thus, deriving the impact of non-coding variants on TF binding is the first step towards unravelling their regulatory roles within their associated disease traits. Most of the modern algorithms used for this purpose are based on convolutional neural network(CNN...

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Literature Corpus work: 181b27b6-3452-585d-8cb3-85f094a07821
DOI: 10.1101/2021.07.30.454350

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