Method of moments framework for differential expression analysis of single-cell RNA sequencing data

Differential expression analysis of single-cell RNA sequencing (scRNA-seq) data is central for characterizing how experimental factors affect the distribution of gene expression. However, distinguishing between biological and technical sources of cell-cell variability and assessing the statistical s...

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Veröffentlicht in:	Cell 2024-10, Vol.187 (22), p.6393-6410.e16
Hauptverfasser:	Kim, Min Cheol, Gate, Rachel, Lee, David S., Tolopko, Andrew, Lu, Andrew, Gordon, Erin, Shifrut, Eric, Garcia-Nieto, Pablo E., Marson, Alexander, Ntranos, Vasilis, Ye, Chun Jimmie
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Bootstrap method CD4 T cells CELLxGENE Discover CRISPR-Cas Systems - genetics Differential expression Epithelial Cells - metabolism Gene Expression Profiling - methods Gene Expression Regulation Gene expression variance Gene Regulatory Networks Humans Leukocytes, Mononuclear - metabolism Memento Mice Quantitative Trait Loci scRNA-seq analysis Sequence Analysis, RNA - methods Single-Cell Analysis - methods Single-cell transcriptomics Spatial genomics T-Lymphocytes - metabolism Trachea - metabolism
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