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 …

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) technology has become the state‐of‐the‐art
approach for unravelling the heterogeneity and complexity of RNA transcripts within …

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 …

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 …

Single-cell transcriptomics (SCT) is a tour de force in the era of big omics data that has led to
the accumulation of massive cellular transcription data at an astounding resolution of single …

Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of
individual cells. This provides biological resolution that cannot be matched by bulk RNA …

Single-cell RNA sequencing (scRNA-seq) has significantly deepened our insights into
complex tissues, with the latest techniques capable of processing tens of thousands of cells …

In the last few years single-cell RNA sequencing (scRNA-seq) has enabled the investigation
of cellular heterogeneity at the transcriptional level, the characterization of rare cell types as …