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DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
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 non-coding DNA, the vast majority of which is still poorly understood in terms of function. A powerful predictive model for the functio...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914104/ https://www.ncbi.nlm.nih.gov/pubmed/27084946 http://dx.doi.org/10.1093/nar/gkw226 |