JOINTLY: interpretable joint clustering of single-cell transcriptomes

Abstract excerpt

Single-cell and single-nucleus RNA-sequencing (sxRNA-seq) is increasingly being used to characterise the transcriptomic state of cell types at homeostasis, during development and in disease. However, this is a challenging task, as biological effects can be masked by technical variation. Here, we present JOINTLY, an algorithm enabling joint clustering of sxRNA-seq datasets across batches. JOINTLY performs on par...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Adipose Tissue and Metabolism
• Share to Immune cells in cancer
• Share to Single-cell and spatial transcriptomics