Article

Integrating long-range regulatory interactions to predict gene expression using graph convolutional networks

2020-11-24

Abstract excerpt

Long-range spatial interactions among genomic regions are critical for regulating gene expression, and their disruption has been associated with a host of diseases. However, when modeling the effects of regulatory factors, most deep learning models either neglect long-range interactions or fail to capture the inherent 3D structure of the underlying genomic organization. To address these limitations, we present GC-...

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Literature Corpus work: a4c04153-1426-54f6-99b2-352d0c0e1e08
DOI: 10.1101/2020.11.23.394478

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