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 …

The rapid development of single-cell RNA-sequencing (scRNA-seq) technology has raised
significant computational and analytical challenges. The application of deep learning to …

Thanks to innovative sample-preparation and sequencing technologies, gene expression in
individual cells can now be measured for thousands of cells in a single experiment. Since its …

Since its selection as the method of the year in 2013, single-cell technologies have become
mature enough to provide answers to complex research questions. With the growth of single …

Single-cell RNA sequencing (scRNA-Seq) enables researchers to quantify the
transcriptomes of individual cells. The capacity of researchers to perform this type of analysis …

The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has
advanced our understanding of the pathogenesis of disease and provided valuable insights …

Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene
expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A …

Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput sequencing
technique for studying gene expressions at the cell level. Differential Expression (DE) …

As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the
number of tools designed to analyse these data has dramatically increased. Navigating the …

In recent years, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful
technique for investigating cellular heterogeneity and structure. However, analyzing scRNA …