Learning interpretable representations of single-cell multi-omics data with multi-output Gaussian Processes
Zahra Moslehi, Sareh AmeriFar, Kevin de Azevedo, Florian Buettner
This paper introduces a model that combines expressive representation learning with interpretable Gaussian processes to analyze single-cell multi-omics data, revealing relationships between cell clusters and marker genes.
Nucleic Acids Research · Jul 19, 2025Peer-reviewedBioinformatics