A multi-species benchmark for training and validating mass spectrometry proteomics machine learning models
Abstract Training machine learning models for tasks such as de novo sequencing or spectral clustering requires large collections of confidently identified spectra. Here we describe a dataset of 2.8 million high-confidence peptide-spectrum matches derived from nine different species. The dataset is b...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04068-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|