- Overview
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- Course content
- Concepts and methods in multiomics data integration
- Multiple ways to integrate multiomics data – case studies from studying human diseases
- Knowledge-based machine learning to extract disease mechanisms from spatial multi-omics
- Introduction to network propagation
- Introductory lecture on stats methods
- Multi-Omics Factor Analysis (MOFA)
- Rostro-caudal regionalisation of the Müllerian ducts during prenatal development
- Single-cell roadmap of human gonadal development
- Single-cell multiomics map of human B-lymphopoiesis
- Exploring lymphocyte developmental origins
- Tools and resources in data integration and visualisation
- Group projects
- Multi-omic analysis and integration with prior knowledge to study signalling and metabolism deregulations in cancer cell lines
- Modelling gene regulation from transcriptomics and chromatin accessibility single-cell data
- Single-cell multi-omics integration in Alzheimer’s disease
- Multi-Omics Integration for Personalised Medicine
- Trainer biographies
- Further learning
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