GP-based MS/MS peak preprocessing for de novo

adjacent

GP-based MS/MS peak preprocessing for de novo: adjacent. Uses genetic programming to classify MS/MS peaks as signal or noise before de novo sequencing, improving PEAKS identification over intensity thresholding.

Uses genetic programming to classify MS/MS peaks as signal or noise before de novo sequencing, improving PEAKS identification over intensity thresholding.

Kind	adjacent
Deep learning	no
Acquisition	DDA

Paper describing it

• Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification (2018, 2018 IEEE Congress on Evolutionary Computation (CEC), peer-reviewed)

Authors (4)

Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng

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• Models and the authors behind them

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