Single-cell RNASeq (scRNASeq) has emerged as a powerful method for quantifying the
transcriptome of individual cells. However, the data from scRNASeq experiments is often …

Single-cell RNA-seq (scRNA-seq) allows researchers to define cell types on the basis of
unsupervised clustering of the transcriptome. However, differences in experimental methods …

Motivation Single-cell RNA-sequencing (scRNA-seq) allows whole transcriptome profiling of
thousands of individual cells, enabling the molecular exploration of tissues at the cellular …

During the last decade, high‐throughput sequencing methods have revolutionized the entire
field of biology. The opportunity to study entire transcriptomes in great detail using RNA …

Single-cell RNA-seq (scRNASeq) has become a powerful technique for measuring the
transcriptome of individual cells. Unlike the bulk measurements that average the gene …

Single-cell RNA sequencing (scRNA-Seq) is rapidly becoming a powerful tool for high-
throughput transcriptomic analysis of cell states and dynamics at the single cell level. Both …

Background Single-cell RNA-sequencing (scRNA-seq) is a transformative technology,
allowing global transcriptomes of individual cells to be profiled with high accuracy. An …

While only recently developed, the ability to profile expression data in single cells (scRNA-
Seq) has already led to several important studies and findings. However, this technology …

Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular
heterogeneity at the resolution of individual cells. Previous scientific knowledge in cell …

Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied
to experiments representing a single condition, technology, or species to discover and …