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

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)

Authors (3)

Kevin McDonnell, Enda Howley, Florence Abram

Seen in the charts

• Models and the authors behind them

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