scCTS: identifying the cell type-specific marker genes from population-level single-cell RNA-seq
Year: 2024
Type: article
Abstract: Single-cell RNA-sequencing (scRNA-seq) provides gene expression profiles of individual cells from complex samples, facilitating the detection of cell type-specific marker genes. In scRNA-seq experiments with multiple donors, the population level variation brings an extra layer of complexity in cell type-specific gene detection, for example, they may not appear in all donors. Motivated by this observation, we develop a statistical model named scCTS to identify cell type-specific genes from population-level scRNA-seq data. Extensive data analyses demonstrate that the proposed method identifies more biologically meaningful cell type-specific genes compared to traditional methods.
Source: Genome biology
Authors: Luxiao Chen, Zhenxing Guo, Tao Deng, Hao Wu
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,290
OpenAlex ID: W4403388180