Webinaire d'avril 2026

Prof Kim-Anh Lê Cao is a Professor of Statistical Genomics at the University of Melbourne and Director of Melbourne Integrative Genomics. She has secured three consecutive NHMRC fellowships since 2014, and numerous awards for her contributions to statistics applied to molecular biology, including the Moran medal from the Australian Academy of Science. Her research focuses on ‘omics data integration and she leads the development of the popular R toolkit mixOmics. She is also the founder and chief scientific officer of mixOmics PRO, the next generation of mixOmics.

MULTIVARIATE ANALYSIS OF LONGITUDINAL MULTI-OMICS DATA (a roadshow)

Longitudinal omics studies routinely capture dynamic responses to development, treatment, and disease progression, but extracting interpretable signals remains challenging when measurements are sparse, irregular, and heterogeneous across omics platforms. I will present three complementary longitudinal frameworks implemented by leveraging our mixOmics methods to model and integrate temporal patterns.
First, I will outline trajectory-based modelling and clustering approaches that summarise each feature’s temporal behaviour and group features with shared dynamics. This supports questions such as when pathways activate, whether responses are transient or sustained.
Second, I will introduce time-resolved association and network inference to examine how relationships between molecular entities evolve over time. Rather than assuming a static network, these approaches allow to identify associations that emerge, weaken, or reverse during a study.
Third, I will cover our recent tensor-based toolkit for integrated multi-omics time courses, treating subject, feature, and time dimensions jointly to extract coherent multi-omics signatures that reflect entire temporal trajectories. This is particularly useful when the biological phenotype is better characterised by a temporal profile than by any single snapshot.

Lien vers le webinaire