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Predicting mRNA abundance directly from genomic sequence using deep convolutional neural networks

2018-09-13

Abstract excerpt

<h4>SUMMARY</h4> Algorithms that accurately predict gene structure from primary sequence alone were transformative for annotating the human genome. Can we also predict the expression levels of genes based solely on genome sequence? Here we sought to apply deep convolutional neural networks towards this goal. Surprisingly, a model that includes only promoter sequences and features associated with mRNA stability e...

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Literature Corpus work
4ed4ddaf-a11e-5f33-9ed7-0b0ad5871304
DOI
10.1101/416685
Open publication

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Predicting mRNA abundance directly from genomic sequence using deep convolutional neural networksDOI 10.1101/416685
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