A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry

peer-reviewed · Lecture Notes in Computer Science · 2020

peer-reviewed · Lecture Notes in Computer Science · 2020. Samaneh Azari et al.
Date 2020-02-23
Type peer-reviewed
Venue Lecture Notes in Computer Science
Publisher Springer International Publishing
Contribution post-processor
DOI 10.1007/978-3-030-41299-9_35
Citations (OpenAlex) 2
Venue 2-year citedness 1.54

Authors

  1. Samaneh Azari · Victoria University of Wellington
  2. Bing Xue · Victoria University of Wellington
  3. Mengjie Zhang · Victoria University of Wellington
  4. Lifeng Peng · Victoria University of Wellington

Methods and tools

  • GP-based MS/MS spectrum denoising: Genetic programming classifiers that separate b/y-ion peaks from noise before identification, raising PEAKS de novo identification rates on noisy CID spectra.

Methods it uses

  • PEAKS: Commercial DP-based de novo

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