Artificial training data evaluation for ML de novo
benchmark
Artificial training data evaluation for ML de novo: benchmark. Critically evaluates whether synthetic spectra can train machine-learning de novo sequencing models, comparing against models trained on real data.
Critically evaluates whether synthetic spectra can train machine-learning de novo sequencing models, comparing against models trained on real data.
| Kind | benchmark |
| Deep learning | yes |
| Acquisition | DDA |
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
- Critical evaluation of the use of artificial data for machine learning based de novo peptide identification (2023, Computational and Structural Biotechnology Journal, peer-reviewed)