Article

Predicting the Impact of cis-Regulatory Variation on Alternative Polyadenylation

2018-04-12

Abstract excerpt

Alternative polyadenylation (APA) is a major driver of transcriptome diversity in human cells. Here, we use deep learning to predict APA from DNA sequence alone. We trained our model (APARENT, APA REgression NeT) on isoform expression data from over three million APA reporters, built by inserting random sequence into twelve distinct 3’UTR contexts. Predictions are highly accurate across both synthetic and genomic...

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Literature Corpus work: 19cd1bb3-1433-5de3-9454-1937ab46c0da
DOI: 10.1101/300061

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