This workshop intends to facilitate the training and discourse amongst researchers interested in machine learning using Galaxy. It was a one-week event, including webinar sessions in which we will introduce machine learning backgrounds and train researchers to use Galaxy for machine learning analysis. Every webinar session was followed by a self-training day, in which experts answered questions in a support channel and support on a peer-to-peer basis.
The programme included:
- Introduction to the Galaxy data analysis platform
- Machine learning 101
- Regressor (linear, non-linear and ensemble models)
- Classifiers (logistic regression, k-nearest neighbours, support vector machines and random forest)
- Feature selection methods
- Clustering (Hierarchical, K-means and DBSCAN)
- Hyper-parameter optimization
The workshops will make use of the European Galaxy server and the Galaxy Training Material. Both will stay accessible and open after the training.
Recordings and slides
Day 1 webinar
Björn Grüning, Introduction to ELIXIR and Galaxy
Alireza Khanteymoori, Introduction to Machine Learning
Alireza Khanteymoori, Regression (Live demonstration)
Day 3 webinar
Fotis Psomopoulos, Classification (Live demonstration)
Fotis Psomopoulos, Feature selection
Day 5 webinar
Anup Kumar, Clustering (Live demonstration)
Anup Kumar, Hyperparameter Optimization