- ORCID iD
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0000-0001-6807-7029
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- Journal Article
- open access
Updated MS²PIP web server supports cutting-edge proteomics applications
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- Journal Article
- A1
- open access
Toward an integrated machine learning model of a proteomics experiment
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- Miscellaneous
- open access
PhosphoLingo : protein language models for phosphorylation site prediction
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- Journal Article
- A1
- open access
ProteomicsML : an online platform for community-curated data sets and tutorials for machine learning in proteomics
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- Journal Article
- A1
- open access
Machine learning on large-scale proteomics data identifies tissue and cell-type specific proteins
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- Miscellaneous
- open access
FAVA : high-quality functional association networks inferred from scRNA-seq and proteomics data
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- Journal Article
- A1
- open access
psm_utils : a high-level python API for parsing and handling peptide-spectrum matches and proteomics search results
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Machine learning on large-scale proteomics data identifies tissue- and cell type-specific proteins
-
- Miscellaneous
- open access
ProteomicsML : an online platform for community-curated datasets and tutorials for machine learning in proteomics
-
- Miscellaneous
- open access
Psm_utils : a high level Python API for parsing and handling peptide-spectrum-matches and proteomics search results