Article

Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays

2018-08-17

Abstract excerpt

The relationship between noncoding DNA sequence and gene expression is not well-understood. Massively parallel reporter assays (MPRAs), which quantify the regulatory activity of large libraries of DNA sequences in parallel, are a powerful approach to characterize this relationship. We present MPRA-DragoNN, a convolutional neural network (CNN)-based framework to predict and interpret the regulatory activity of DNA...

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Literature Corpus work: 0bb88fae-1d3a-518e-a85b-2912ddee1457
DOI: 10.1101/393926

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