Training materials
Target audience: Students
and Contributors: Anup Kumar or Dr. Bernard de Bono or Erik Hedman or Janick Mathys or Melanie Föll or Robert Andrews or SIB Swiss Institute of Bioinformatics
-
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
Library Generation for DIA Analysis
•• intermediateProteomics DIA -
hands-on tutorial
DIA Analysis using OpenSwathWorkflow
•• intermediateProteomics DIA
- 1
- 2