Article

Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data

2024-02-28

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) technologies have been widely used to characterize cellular landscapes in complex tissues. Large-scale single-cell transcriptomics holds great potential for identifying rare cell types critical to the pathogenesis of diseases and biological processes. Existing methods for identifying rare cell types often rely on one-time clustering using partial or global gene expression. Ho...

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Literature Corpus work: 245314ea-7407-5a42-ad6e-9adef2df4707
DOI: 10.1101/2024.02.25.581975

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