GP-based scoring function for de novo PSM re-ranking
post-processor · Learning-to-rank
GP-based scoring function for de novo PSM re-ranking: post-processor · Learning-to-rank. Genetic-programming-derived scoring function for re-ranking peptide-spectrum matches emitted by de novo sequencing tools. Improves top-k accuracy over the…
Genetic-programming-derived scoring function for re-ranking peptide-spectrum matches emitted by de novo sequencing tools. Improves top-k accuracy over the default scorer.
| Kind | post-processor |
| Deep learning | no |
| Acquisition | DDA |
| Family | Learning-to-rank |
Papers describing it (3)
- Learning to Rank Peptide-Spectrum Matches Using Genetic Programming (2019, 2019 IEEE Congress on Evolutionary Computation (CEC), peer-reviewed)
- Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches (2019, arXiv, preprint)
- Evolutionary Algorithms for Improving De Novo Peptide Sequencing (2020, thesis)