ProteomicsML
ProteomicsML curates community-provided proteomics datasets to support machine learning development and benchmarking for predicting peptide behavior.
Key Features:
- Datasets: Curated proteomics datasets provided in standardized formats for machine learning analyses.
Scientific Applications:
- Predictive Proteomics: Facilitates forecasting of peptide behavior using standardized datasets.
Methodology:
Supports comparison of machine learning algorithms.
Topics
Details
- License:
- CC-BY-4.0
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 11/7/2023
- Last Updated:
- 11/7/2023
Operations
Publications
Rehfeldt TG, Gabriels R, Bouwmeester R, Gessulat S, Neely BA, Palmblad M, Perez-Riverol Y, Schmidt T, Vizcaíno JA, Deutsch EW. ProteomicsML: An Online Platform for Community-Curated Data sets and Tutorials for Machine Learning in Proteomics. Journal of Proteome Research. 2023;22(2):632-636. doi:10.1021/acs.jproteome.2c00629. PMID:36693629. PMCID:PMC9903315.
PMID: 36693629
PMCID: PMC9903315
Funding: - Agentschap Innoveren en Ondernemen: HBC.2020.2205
- Fonds Wetenschappelijk Onderzoek: 12B7123N
- National Institute on Aging: U19 AG023122
- Velux Fonden: 00028116
- Horizon 2020 Framework Programme: 823839
- National Institute of General Medical Sciences: R01 GM087221, R24 GM127667
- Biotechnology and Biological Sciences Research Council: BB/S01781X/1, BB/V018779/1
- National Science Foundation: DBI-1933311, IOS-1922871