Article

Latent factor modelling of scRNA-seq data uncovers novel pathways dysregulated in cell subsets of autoimmune disease patients

2019-11-25

Abstract excerpt

<h4>Summary</h4> Latent factor modelling applied to single-cell RNA-sequencing (scRNA-seq) data is a useful approach to discover gene signatures associated with cell states. However, it is often unclear what method is best suited for specific tasks and how latent factors should be interpreted from a biological perspective. Here, we compare four state-of-the-art methods and explore their stability, predictive powe...

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Literature Corpus work: 8334ac8d-e4d7-57ba-be13-e2716edc5404
DOI: 10.1101/853903

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