BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism - ScienceDirect
4.6 (235) · $ 26.50 · In stock
![BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S1476927122001451-gr3.jpg)
![A TDV attention-based BiGRU network for AIS-based vessel trajectory prediction - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2589004223004601-fx1.jpg)
A TDV attention-based BiGRU network for AIS-based vessel trajectory prediction - ScienceDirect
![Effective use of sequence information to predict CRISPR-Cas9 off-target - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2001037022000137-gr10.jpg)
Effective use of sequence information to predict CRISPR-Cas9 off-target - ScienceDirect
![trRosettaRNA: automated prediction of RNA 3D structure with transformer network](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-023-42528-4/MediaObjects/41467_2023_42528_Fig1_HTML.png)
trRosettaRNA: automated prediction of RNA 3D structure with transformer network
![Modulation of DNA-protein Interactions by Proximal Genetic Elements as Uncovered by Interpretable Deep Learning - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0022283623001912-ga1.jpg)
Modulation of DNA-protein Interactions by Proximal Genetic Elements as Uncovered by Interpretable Deep Learning - ScienceDirect
![Research on RNA secondary structure predicting via bidirectional recurrent neural network, BMC Bioinformatics](https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12859-021-04332-z/MediaObjects/12859_2021_4332_Fig5_HTML.png)
Research on RNA secondary structure predicting via bidirectional recurrent neural network, BMC Bioinformatics
![Advances and opportunities in RNA structure experimental determination and computational modeling](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41592-022-01623-y/MediaObjects/41592_2022_1623_Fig1_HTML.png)
Advances and opportunities in RNA structure experimental determination and computational modeling
![A BiGRU joint optimized attention network for recognition of drilling conditions - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S1995822623001462-gr1.jpg)
A BiGRU joint optimized attention network for recognition of drilling conditions - ScienceDirect
![A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network, BMC Bioinformatics](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12859-021-04102-x/MediaObjects/12859_2021_4102_Fig9_HTML.png)
A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network, BMC Bioinformatics
![Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0925231220311334-gr11.jpg)
Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification - ScienceDirect
![Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0925231220311334-gr18.jpg)
Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification - ScienceDirect
![Applications of deep learning in understanding gene regulation - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2667237522002892-gr1.jpg)
Applications of deep learning in understanding gene regulation - ScienceDirect
![The architecture of the attention-based Bi-GRU-CapsNet model.](https://www.researchgate.net/publication/331110632/figure/fig1/AS:726395357495297@1550197557047/The-architecture-of-the-attention-based-Bi-GRU-CapsNet-model.png)
The architecture of the attention-based Bi-GRU-CapsNet model.
![ProtInteract: A deep learning framework for predicting protein–protein interactions - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2001037023000296-ga1.jpg)
ProtInteract: A deep learning framework for predicting protein–protein interactions - ScienceDirect
![IJGI, Free Full-Text](https://pub.mdpi-res.com/ijgi/ijgi-09-00635/article_deploy/html/images/ijgi-09-00635-g001.png?1604379274)
IJGI, Free Full-Text