Complex biological systems are composed of multiple cell types whose transcriptional
activity can vary due to differences in cell state, environmental stimulation, or intrinsic …

Over the last decade, single cell RNA sequencing (scRNAseq) became an increasingly
viable solution for analyzing cellular heterogeneity and cell-specific expression differences …

Single-cell RNA sequencing (scRNA-seq) is currently transforming our understanding of
biology, as it is a powerful tool to resolve cellular heterogeneity and molecular networks …

Highlights•Technologies such as single-cell RNA sequencing have rapidly progressed in
recent years.•Various methods exist for preparing libraries for sequencing, each with its own …

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 rapidly becoming a powerful tool for high-
throughput transcriptomic analysis of cell states and dynamics at the single cell level. Both …

Single-cell RNA sequencing (scRNA-seq) has emerged as a popular method to profile gene
expression at the resolution of individual cells. While there have been methods and software …

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-sequencing (scRNA-Seq) allows researchers to profile transcriptional
activity in individual cells. However, the complex nature of these data and variability in study …

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 …