Multiomics Data Analysis and Integration

6-7 March 2025

Dr. Julien Boccard, SIB
Dr. Van Du Tran, SIB
Dre Florence Mehl, SIB

Researchers often have access or generate multiple omics data (RNAseq, metabolomics, lipidomics, proteomics…) within a single study. Although each omics data has been traditionally analysed in isolation, combining possibly complementary data can yield a better understanding of the mechanisms involved in the biological processes. Several integrative approaches are now available to combine such data, which can be regarded as extensions of the standard Principal Component Analysis (PCA). In this 2 days workshop, we will provide an overview of omics data structures, and present different statistical approaches unsupervised and supervised, from simple PCA/PLS to more advanced multi-omics dimension reduction methods (Common Component and Specific Weights Analysis, Multiblock Partial Least Squares). For each method, we will cover both its principle and practical aspects

UNIGE

https://www.sib.swiss/training/course/20250306_MODAI

 Deadline for registration: 27 February 2025 (some seats are reserved for StarOmics students, first come first serve)

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