The proliferation of single cell transcriptomics has potentiated our ability to unveil patterns
that reflect dynamic cellular processes, rather than cell type compositional effects that …

Researchers stand to gain insight into complex biological systems by assembling multiple
single-cell RNA-sequencing (scRNA-seq) studies to reveal a panoramic view of overarching …

Single-cell transcriptomics provides an opportunity to characterize cell-type-specific
transcriptional networks, intercellular signaling pathways and cellular diversity with …

Background Single-cell RNA sequencing (scRNA-seq) plays a pivotal role in our
understanding of cellular heterogeneity. Current analytical workflows are driven by …

Various tools have been developed to reliably identify, trace and analyze single cells in
complex tissues. In recent years, these technologies have been combined with …

Single-cell RNA sequencing (scRNA-seq) has facilitated the study of gene expression and
the development of new tools to quantify transcript in individual cells. Yet, most of these …

Single cell RNA-sequencing technology (scRNA-seq) provides a new avenue to discover
and characterize cell types, but the experiment-specific technical biases and analytic …

Single cell RNA-Seq facilitates the characterization of cell type heterogeneity and
developmental processes. Further study of single cell profiles across different conditions …

Most human genes are co-expressed with a nearby gene. Previous studies have revealed
this local gene co-expression to be widespread across chromosomes and across dozens of …

Single-cell RNA sequencing (scRNA-seq) is a powerful approach for reconstructing cellular
differentiation trajectories. However, inferring both the state and direction of differentiation is …