Background Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of
transcriptomes, arising as a powerful tool for discovering and characterizing cell types and …

Heterogeneity in cell populations poses a significant challenge for understanding complex
cell biological processes. The analysis of cells at the single-cell level, especially single-cell …

Single-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and
medical questions. However, systematic comparisons of the performance of diverse scRNA …

Motivation Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene
expression at the level of individual cells. However, preparing raw sequence data for further …

Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of
millions of cells across species and diseases. These data have spurred the development of …

Single‐cell RNA sequencing (scRNA‐seq) technology has become the state‐of‐the‐art
approach for unravelling the heterogeneity and complexity of RNA transcripts within …

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating
cellular biology at an unprecedented resolution, enabling the characterization of cellular …

Detection of differentially expressed genes is a common task in single-cell RNA-seq (scRNA-
seq) studies. Various methods based on both bulk-cell and single-cell approaches are in …

Motivation Single-cell RNA sequencing (scRNA-seq) has revolutionized biological sciences
by revealing genome-wide gene expression levels within individual cells. However, a critical …

Single-cell RNA sequencing (scRNA-seq) has become a routinely used technique to
quantify the gene expression profile of thousands of single cells simultaneously. Analysis of …