Data and results for paper, "Deep Semi-Supervised Learning Improves Universal Peptide Identification of Shotgun Proteomics Data," found at:
https://doi.org/10.1101/2020.11.12.380881
Deep learning software for PSM recalibration, called ProteoTorch-DNN, available at:
https://github.com/proteoTorch/proteoTorch
with documentation:
https://proteotorch.readthedocs.io/en/latest/
[doi:10.25345/C55F9Z]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Deep Learning ; Prosit ; PSM Recalibration ; Percolator ; Deep Neural Networks ; Machine Learning
Principal Investigators: (in alphabetical order) |
John Timothy Halloran, University of California, Davis, United States |
Submitting User: | jthalloran |
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Experimental Design | ||
Conditions:
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Biological Replicates:
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Identification Results | ||
Proteins (Human, Remapped):
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Proteins (Reported):
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Peptides:
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Variant Peptides:
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PSMs:
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Quantification Results | ||
Differential Proteins:
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Quantified Proteins:
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Browse Dataset Files | Browse Results |
Browse Quantification Results | |
FTP Download Link (click to copy):
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