Machine Learning for Multi-Omics Integration - University of Barcelona -15–17 December

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Carlo Pecoraro

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Sep 29, 2025, 12:28:32 PM9/29/25

to MLCSB COSI

Dear all,

there are only 2 seats left for the Physalia in-person course “Machine Learning for Multi-Omics Integration”, which will take place from 15–17 December at the University of Barcelona, Faculty of Biology (Dept. Evolutionary Biology, Ecology & Environmental Sciences, IRBio).

Dates & Location
15–17 December
University of Barcelona, IRBio, Av. Diagonal, 643, 08028 Barcelona, Spain

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

In this course, we will cover machine learning methodologies for integrating large amounts of biological data. The program combines lectures and hands-on sessions, covering supervised, unsupervised, and deep learning approaches, as well as single-cell omics integration.

Participants will learn to:

Understand machine learning approaches for biological data analysis
Apply integrative omics methods (e.g. mixOmics, MOFA, Seurat)
Design and implement integrative projects
Choose appropriate tools and methodologies for their research

This is our only in-person Physalia course in 2025. For a full list of our online courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops/

For any questions, feel free to contact us.

Best regards,
Carlo

--------------------

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR

in...@physalia-courses.org

mobile: +49 17645230846

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