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:

Introduction to Galaxy Analyses

Material

Lesson	Hands-on	Input dataset	Workflows	Galaxy tour	Galaxy instances
Age prediction using machine learning	tutorial Toggle Dropdown FR JA ES PT AR	zenodo_link	workflow		instances Galaxy Test Galaxy for Ecology UseGalaxy.eu UseGalaxy.org (Main)
Basics of machine learning	tutorial Toggle Dropdown FR JA ES PT AR	zenodo_link	workflow	interactive_tour	instances Galaxy Test Galaxy for Ecology Galaxy@GenOuest UseGalaxy.eu UseGalaxy.org (Main)
Interval-Wise Testing for omics data	tutorial Toggle Dropdown FR JA ES PT AR	zenodo_link	workflow	interactive_tour	instances Galaxy for Ecology Galaxy@GenOuest UseGalaxy.eu UseGalaxy.org (Main)
Machine learning: classification and regression	tutorial Toggle Dropdown FR JA ES PT AR	zenodo_link	workflow	interactive_tour	instances Galaxy Test Galaxy for Ecology Galaxy@GenOuest UseGalaxy.eu UseGalaxy.org (Main)
Regression in Machine Learning	tutorial Toggle Dropdown FR JA ES PT AR	zenodo_link	workflow		instances Galaxy Test Galaxy for Ecology Galaxy@GenOuest UseGalaxy.eu UseGalaxy.org (Main)

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 admin to access everything.