3-day workshop: Multivariate Analysis and Integration of Omics Data

This 3-day course will be taught by Prof Kim-Anh Lê Cao from the University of Melbourne and is hosted by Lund University.

Modern high-throughput technologies generate complex biological data that require powerful yet accessible tools for analysis. This beginner-level workshop introduces participants to data integration and multivariate analysis using the R package mixOmics.

Through a series of hands-on sessions, we will explore how multivariate methods can uncover biological patterns, identify key molecular features (or 'markers'), and integrate multiple omics datasets. The approach is hypothesis-free, flexible, and does not rely on strict statistical assumptions.

By the end of the workshop, participants will be familiar with the core mixOmics workflows for exploratory and supervised analysis. There will also be an opportunity to apply the methods to your own dataset, with expert guidance throughout.

More information on our website.

Pre-requisite: Basic proficiency in R is essential (e.g. working with data frames, basic calculations, simple plots). Participants without R experience have reported difficulty keeping up and gaining value from the course.

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Workshop Registration Cancellation Policy:

To confirm your place in this workshop, the registration fee is payable at the time of booking. This commitment helps us plan and deliver the workshop effectively for all participants.

Cancellations and Refunds: Refunds are only available if the workshop is cancelled or postponed by the organiser. In that case, a full refund (including any service fees) will be issued automatically.

No-Show Policy: If you do not attend the workshop, your registration fee will be non-refundable.

Illness or Exceptional Circumstances: We understand that unexpected situations can arise. If you are unable to attend due to illness or other exceptional circumstances, please contact us as soon as possible. While refunds cannot be issued, we will review your situation with care and may consider alternative options at the organiser’s discretion.

This policy is designed to ensure fairness to all participants and to support the smooth delivery of our workshops.

Thank you for your understanding.

Info:

Event Venue & Nearby Stays

Lund University, Sölvegatan 35, Lund, Sweden