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DOME recommendations using a Galaxy tutorial as a use case

  • Lesson title: DOME recommendations using a Galaxy tutorial as a use case
  • Keywords: Machine learning, supervised learning, good practices, ML sharing, ML comparison
  • Objective/Description: In this lesson we will introduce the subject of good practices via the DOME recommendations when sharing supervised machine learning approaches with peers
  • Learning outcomes:
    • Understanding what information is key when sharing supervised machine learning approaches
    • Understanding the DOME recommendations
    • Listing some key elements to improve sharing and enabling comparison of supervised machine learning approaches
    • Applying the DOME recommendations to your own supervised machine learning approach (or at least the provided use case)
  • Prerequisites:
  • Guiding questions:
    • What information do I need to share for others to get a quick overview of my supervised Machine Learning approach?

How this tutorial is organized

  1. Warm-up via a practical exercise (12 minutes)
  2. DOME recommendations (15 minutes)
  3. Wrap-up (3 minutes)