Hybrid CNN-GNN peptide ion encoder
adjacent · GNN
Hybrid CNN-GNN peptide ion encoder: adjacent · GNN. Convolutional plus graph neural network module that encodes fragment peaks to identify b- and y-ions, outperforming encoders taken from existing de novo sequencers under…
Convolutional plus graph neural network module that encodes fragment peaks to identify b- and y-ions, outperforming encoders taken from existing de novo sequencers under noise and missing peaks.
| Kind | adjacent |
| Deep learning | yes |
| Acquisition | DDA |
| Family | GNN |
Data
What the papers describing this method trained it on and reported its results on, as each paper states it. A version is named only where the paper names one.
Also used, purpose not recorded
- Nine-species benchmark (original (DeepNovo, 2017))
Paper describing it
- Application of a Novel Hybrid CNN-GNN for Peptide Ion Encoding (2023, Journal of Proteome Research, peer-reviewed)