Immunopeptidomics de novo benchmark

benchmark

Immunopeptidomics de novo benchmark: benchmark. Benchmarks deep-learning de novo sequencing models against classical tools on immunopeptidomics data, where non-canonical neoantigens fall outside the reference database.

Benchmarks deep-learning de novo sequencing models against classical tools on immunopeptidomics data, where non-canonical neoantigens fall outside the reference database.

Kind	benchmark
Acquisition	DDA

Paper describing it

• Benchmarking deep learning models and classical de novo sequencing tools for immunopeptidomics (2023, Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, peer-reviewed)

Authors (4)

Liang Xue, Mykola Bordyuh, Djork-Arne Clevert, Robert Stanton

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