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Discovery of optimal cell type classification marker genes from single cell RNA sequencing data

3 Nov 2024

Abstract excerpt

Background: The use of single cell/nucleus RNA sequencing (scRNA-seq) technologies that quantitively describe cell transcriptional phenotypes is revolutionizing our understanding of cell biology, leading to new insights in cell type identification, disease mechanisms, and drug development. The tremendous growth in scRNA-seq data has posed new challenges in efficiently characterizing data-driven cell types and...

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PMID: 40893796
DOI: 10.1186/s44330-024-00015-2

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