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

2024-04-27

Abstract excerpt

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 identifying quan...

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Literature Corpus work
cafbb9d7-02d2-57e3-b32c-ea5eafc56402
DOI
10.1101/2024.04.22.590194
Open publication

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Discovery of optimal cell type classification marker genes from single cell RNA sequencing dataDOI 10.1101/2024.04.22.590194
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