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

标题
DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
作者
关键词
-
出版物
NUCLEIC ACIDS RESEARCH
Volume 44, Issue 11, Pages e107-e107
出版商
Oxford University Press (OUP)
发表日期
2016-04-16
DOI
10.1093/nar/gkw226

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