Advances and opportunities in RNA structure experimental determination and computational modeling
Computational Biology and Chemistry, The 20th Asian Pacific Bioinformatics Conference 2022
The architecture of the attention-based Bi-GRU-CapsNet model.
Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification - ScienceDirect
RNA secondary structure prediction with convolutional neural networks, BMC Bioinformatics
Deep Effective k-mer representation learning for polyadenylation signal prediction via co-occurrence embedding - ScienceDirect
Advances and opportunities in RNA structure experimental determination and computational modeling
Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification - ScienceDirect
Accurate prediction of RNA secondary structure including pseudoknots through solving minimum-cost flow with learned potentials
PDF) i4mC-GRU: Identifying DNA N 4 -Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features
BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism - ScienceDirect
Secondary structure prediction for RNA sequences including N6-methyladenosine
Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification - ScienceDirect
Predicting RNA secondary structure by a neural network: what features may be learned? [PeerJ]