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

Research article (Nucleic Acids Research, 2016) · cited 940× · AI/ML
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DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

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DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences is a scholarly article[1].

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  • DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences. Retrieved May 24, 2026, from https://4ort.xyz/entity/danq-a-hybrid-convolutional-and-recurrent-deep-neural-network-for-quantifying-the-function-of-dna-sequences
MLA “DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/danq-a-hybrid-convolutional-and-recurrent-deep-neural-network-for-quantifying-the-function-of-dna-sequences.
BibTeX @misc{4ortxyz_danq-a-hybrid-convolutional-and-recurrent-deep-neural-network-for-quantifying-the-function-of-dna-sequences_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences}}, year = {2026}, url = {https://4ort.xyz/entity/danq-a-hybrid-convolutional-and-recurrent-deep-neural-network-for-quantifying-the-function-of-dna-sequences}, note = {Accessed: 2026-05-24}}
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