Statistics and machine learning
Statistical Analyses for omics data and machine learning using Galaxy tools
Requirements
Before diving into this topic, we recommend you to have a look at:
Material
Lesson | Slides | Hands-on | Input dataset | Workflows | Galaxy tour | Galaxy instances |
---|---|---|---|---|---|---|
Age prediction using machine learning
|
tutorial Toggle Dropdown | zenodo_link | workflow | instances | ||
Basics of machine learning
|
tutorial Toggle Dropdown | zenodo_link | workflow | interactive_tour | instances | |
Classification in Machine Learning
|
tutorial Toggle Dropdown | zenodo_link | workflow | instances | ||
Clustering in Machine Learning
|
tutorial Toggle Dropdown | zenodo_link | workflow | instances | ||
Interval-Wise Testing for omics data
|
tutorial Toggle Dropdown | zenodo_link | workflow | interactive_tour | instances | |
Introduction to deep learning
|
tutorial Toggle Dropdown | zenodo_link | ||||
Machine learning: classification and regression
|
tutorial Toggle Dropdown | zenodo_link | workflow | interactive_tour | instances | |
Regression in Machine Learning
|
tutorial Toggle Dropdown | zenodo_link | workflow | instances |
Galaxy instances
You can use a public Galaxy instance which has been tested for the availability of the used tools. They are listed along with the tutorials above.
You can also use the following Docker image for these tutorials:
docker run -p 8080:80 quay.io/galaxy/statistics-training
NOTE: Use the -d flag at the end of the command if you want to automatically download all the data-libraries into the container.
It will launch a flavored Galaxy instance available on http://localhost:8080. This instance will contain all the tools and workflows to follow the tutorials in this topic. Login as admin with password password to access everything.
Maintainers
This material is maintained by:
For any question related to this topic and the content, you can contact them or visit our Gitter channel.
Contributors
This material was contributed to by: