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DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

2015-12-20

Abstract excerpt

Modeling the properties and functions of DNA sequences is an important, but challenging task in the broad field of genomics. This task is particularly difficult for noncoding DNA, the vast majority of which is still poorly understood in terms of function. A powerful predictive model for the function of noncoding DNA can have enormous benefit for both basic science and translational research because over 98% of the...

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Literature Corpus work
af574108-7bf4-5b28-8e29-2bc22e30a81c
DOI
10.1101/032821
Open publication

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DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequencesDOI 10.1101/032821
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