Upcoming Online Course: MACHINE LEARNING FOR MULTI-OMICS INTEGRATION
- Dates: January 13-15, 2025
We are excited to announce our upcoming course on Machine Learning for Multi-Omics Integration! With the explosion of Next-Generation Sequencing (NGS) technologies, biological and biomedical Big Data have grown rapidly in volume and complexity. Integrating Multi-Omics data is now more crucial than ever for uncovering novel biological pathways and understanding cellular behavior.
Course Overview:
This online course will provide a comprehensive introduction to machine learning methodologies for Multi-Omics data integration. Through a combination of lectures and hands-on sessions, participants will learn how to leverage these techniques to harness the full potential of biological Big Data.
Who Should Attend?
This course is ideal for researchers, bioinformaticians, and data scientists who have a basic understanding of the UNIX environment and some experience with R and/or Python programming. Whether you're just getting started with Multi-Omics or looking to deepen your knowledge, this course will equip you with the tools and confidence to tackle integrative Omics analysis.
Learning Outcomes:
By the end of this course, participants will:
- Grasp the fundamentals of machine learning in the context of biological data analysis.
- Gain familiarity with bioinformatics tools and best practices for Omics integration.
- Learn how to design and implement integrative projects using the appropriate analysis methodologies.
- Select the right tools and approaches to address specific research questions.
- Develop confidence in adopting new methods for your research.
Program Highlights:
- Day 1 (2-8 PM CET): Introduction to Omics integration, Supervised Omics integration (PLS/DIABLO)
- Day 2 (2-8 PM CET): Unsupervised Omics integration (MOFA), Deep learning/Autoencoder approaches
- Day 3 (2-8 PM CET): Single-cell Omics integration, UMAP for Omics integration
Don't miss out on this opportunity to enhance your skill set in one of the most cutting-edge areas of bioinformatics!
Register now to secure your spot and take your research to the next level. For more information and to sign up, visit our course page: https://www.physalia-courses.org/courses-workshops/multiomics/
