tutorials
ProteomicsML
ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding new datasets and accompanying notebooks.
Licence: Creative Commons Attribution 4.0 International
Keywords: bioinformatics, community platform, deep learning, detectability, educational platform, fragmentation, ion mobility, machine learning, proteomics, retention time
Target audience: Students, PhD students, Postdoctoral researchers
Resource type: tutorials
Prerequisites:
- Basic proteomics and mass spectrometry knowledge
- Basic python programming
- Machine learning basics
Scientific topics: Bioinformatics, Online course, Mass spectrometry data
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