This repository contains examples showcasing processing and interpretation of multimodal omics data using muon.
- These tutorials on 10k PBMC cells demonstrate how to work with chromatin accessibility and gene expression data from individual cells.
- This tutorial on 5k PBMC cells describes how to process CITE-seq data (including antibody-derived tags counts normalisation) and how to integrate surface protein abundance and gene expression.
- These tutorials show how smooth factors can be learnt, across time and space, with models such as MEFISTO.
- Chronic lymphocytic leukemia (CLL) notebook gives a glimpse of the utility of multi-omics data integration in biomedical applications.
For the list of software packages, you might find useful the awesome multi-omics repository.
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