DOME is a set of community-wide guidelines, recommendations and checklists, spanning these four areas (Data, Optimization, Model and Evaluation in Machine Learning) aiming to help establish standards of supervised machine learning validation in biology. The work was initially published in 2021 with more details on the DOME-ML page. This activity is part of the Machine Learning Focus Group 

Webinar Programme ​

Welcome
What are the DOME recommendations? (Fotis Psomopoulos and Barbara Szomolay)
What is the DOME registry? (Silvio Tosatto)
DOME use within ELIXIR - IDP Community (Damiano Piovesan)
DOME use beyond ELIXIR - GigaScience 
Final Q&A 

The recording of this event will be made available on the ELIXIR Europe Youtube channel