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

Links