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Predicting Epigenomic Functions of Genetic Variants in the Context of Neurodevelopment via Deep Transfer Learning

2021-02-02

Abstract excerpt

Decoding the regulatory effects of non-coding variants is a key challenge in understanding the mechanisms of gene regulation as well as the genetics of common diseases. Recently, deep learning models have been introduced to predict genome-wide epigenomic profiles and effects of DNA variants, in various cellular contexts, but they were often trained in cell lines or bulk tissues that may not be related to phenotype...

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Literature Corpus work
fc767810-ca58-54d6-8a2d-eab38cffaaf4
DOI
10.1101/2021.02.02.429064
Open publication

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Predicting Epigenomic Functions of Genetic Variants in the Context of Neurodevelopment via Deep Transfer LearningDOI 10.1101/2021.02.02.429064
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