Advances in single-cell isolation and barcoding technologies offer unprecedented
opportunities to profile DNA, mRNA, and proteins at a single-cell resolution. Recently, bulk …

Single‐cell RNA‐seq has enabled gene expression to be studied at an unprecedented
resolution. The promise of this technology is attracting a growing user base for single‐cell …

We present a systematic evaluation of state-of-the-art algorithms for inferring gene
regulatory networks from single-cell transcriptional data. As the ground truth for assessing …

Rapid progress in the development of next-generation sequencing (NGS) technologies in
recent years has provided many valuable insights into complex biological systems, ranging …

Studies with temporal or spatial resolution are crucial to understand the molecular dynamics
and spatial dependencies underlying a biological process or system. With advances in high …

One primary reason that makes single-cell RNA-seq analysis challenging is dropouts, where
the data only captures a small fraction of the transcriptome of each cell. Almost all …

Maintenance of the blood system requires balanced cell fate decisions by hematopoietic
stem and progenitor cells (HSPCs). Because cell fate choices are executed at the individual …

While single-cell gene expression experiments present new challenges for data processing,
the cell-to-cell variability observed also reveals statistical relationships that can be used by …

Abstract scRNA-seq profiles each represent a highly partial sample of mRNA molecules
from a unique cell that can never be resampled, and robust analysis must separate the …

Single-cell RNA sequencing (scRNA-Seq) is a recent technology that allows for the
measurement of the expression of all genes in each individual cell contained in a sample …