Article

A deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure

2019-01-10

Abstract excerpt

Three-dimensional structures of the genome play an important role in regulating the expression of genes. Non-coding variants have been shown to alter 3D genome structures to activate oncogenes in cancer. However, there is currently no method to predict the effect of DNA variants on 3D structures. We propose a deep learning method, DeepMILO, to learn DNA sequence features of CTCF/cohesin-mediated loops and to predi...

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Literature Corpus work: 462e6e42-99d5-5e53-89d7-a77fe5e1bb96
DOI: 10.1101/516849

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