GLEAMS is a deep neural network to embed spectra into a low-dimensional space in which spectra generated by the same peptide are close to one another. We have used GLEAMS as the basis for a large-scale spectrum clustering, detecting groups of unidentified, proximal spectra representing the same peptide.
This dataset includes intermediate and final data to reproduce all analyses described in the GLEAMS manuscript. The corresponding code notebooks are available as open source at https://github.com/bittremieux/GLEAMS_notebooks.
[doi:10.25345/C5XW17]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: deep learning ; spectrum clustering ; dark proteome
Principal Investigators: (in alphabetical order) |
William Stafford Noble, University of Washington, USA |
Submitting User: | woutb |
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Owner | Reanalyses | |
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