Deep learning peptide sequencing stumbles on incomplete spectra, not model design
A benchmark of eight deep learning de novo peptide sequencing models finds that most errors stem from incomplete fragmentation spectra rather than model design, and that…
PR
By Priya Raman · Science Reporter
Nov 7 21:30 ETSource: Bioengineer.org
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Read at bioengineer.orgDeep learning peptide sequencing stumbles on incomplete spectra, not model design
A benchmark of eight deep learning de novo peptide sequencing models finds that most errors stem from incomplete fragmentation spectra rather than model design, and that post-processing offers little improvement.
