Training materials
Licence: Creative Commons Attribution 4.0 International
and Authors: Anup Kumar or David Wishart or Donny Vrins or Erik Hjerde or Florian Christoph Sigloch or Malachi Griffith or Matthias Fahrner
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hands-on tutorial
Fine tune large protein model (ProtTrans) using HuggingFace
• beginnerStatistics and probability Statistics and machine learning deep-learning dephosphorylation-site-prediction fine-tuning interactive-tools jupyter-lab machine-learning -
hands-on tutorial
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
• beginnerStatistics and probability Statistics and machine learning deep-learning image-segmentation interactive-tools jupyter-lab machine-learning protein-3D-structure -
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
MaxQuant and MSstats for the analysis of TMT data
• beginnerProteomics DDA TMT -
hands-on tutorial
Secretome Prediction
•• intermediateProteomics human work-in-progress