Dear all, We’re excited to announce our upcoming online course: Machine Learning for Multi-Omics Integration

Dates: 9-11 June (2-8 PM Berlin time)

Course website: https://www.physalia-courses.org/courses-workshops/multiomics/

In this hands-on course, you'll explore how to leverage machine learning to integrate diverse biological datasets — uncovering new insights and biological pathways that can't be seen from single Omics datasets alone.

What you’ll learn:

• Core machine learning approaches for multi-Omics analysis

• Supervised and unsupervised integration techniques (PLS/DIABLO, MOFA, Autoencoders)

• Integration strategies for single-cell biology

• Practical guidance on designing your own integrative project

This course is designed for researchers with basic knowledge of UNIX and beginner-level R or Python skills who want to dive into multi-Omics data analysis.