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.
This course is addressed to life scientists, who have worked with at least one type of data.
At the end of the course, the participants are expected to:
This course is designed for beginner users with the following pre-requisites:
Evaluate your R skills with the following self-assesment.
You are required to bring your own laptop and have the following installed:
Day 1: PCA/PLS theory and exercise
Day 2: general introduction to multiblock analyses, focus on an unsupervised model (Common Component and Specific Weights Analysis) and a supervised model (Multiblock Partial Least Squares)
The registration fees for academics are 120 CHF and 600 CHF for for-profit companies.
You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.
Applications close on 04/03/2024. Deadline for free-of-charge cancellation is set to 04/03/2024. Cancellation after this date will not be reimbursed. Please note that participation in SIB courses is subject to our general conditions.
University of Geneva, Centre Médical Universitaire (CMU).
The course will start at 9:00 and end around 17:00. Precise information will be provided to the participants in due time.
Coordination: Monique Zahn, SIB Training group.
We will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the course).
You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.
Please note that participation in SIB courses is subject to our general conditions.
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