Single-cell technologies, like single-cell RNA sequencing (scRNA-seq), have become essential for exploring the complexity of tissues and organs, helping scientists understand how individual cells behave in health and disease. A key step in analyzing this data is clustering—grouping cells based on their gene expression profiles to identify distinct cell types or states. However, many …
CHOIR improves significance-based detection of cell types and states from single-cell data
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