DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
DanQ is a hybrid neural network model that predicts noncoding DNA function by combining convolutional and recurrent layers, achieving significant improvements in predictive performance.
bioRxiv · Dec 20, 2015Genomics