Training materials
Contributors: Anup Kumar or Christopher Barnett or Célia Michotey or Daniel Neves or David Castillo or Florian Christoph Sigloch
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hands-on tutorial
Hands-on for 'A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy' tutorial
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hands-on tutorial
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Classification in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Machine learning: classification and regression
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Age prediction using machine learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Basics of machine learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Clustering in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Hands-on for 'Label-free versus Labelled - How to Choose Your Quantitation Method' tutorial
• beginnerproteomics DDA -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateproteomics human -
hands-on tutorial
Hands-on for 'Peptide and Protein Quantification via Stable Isotope Labelling (SIL)' tutorial
••• advancedproteomics DDA SILAC