Dear all,
We are pleased to announce 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/cou...ics-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
[email protected]
Bluesky Linkedin
We are pleased to announce 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/cou...ics-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
[email protected]
Bluesky Linkedin