Accurate identification of cell classes across the tissues of living organisms is central in the
analysis of growing atlases of single-cell RNA sequencing (scRNA-seq) data across …

Definition of cell classes across the tissues of living organisms is central in the analysis of
growing atlases of singlecell RNA sequencing (scRNA-seq) data across biomedicine …

Summary Single cell RNA-Seq (scRNA-seq) studies often profile upward of thousands of
cells in heterogeneous environments. Current methods for characterizing cells perform …

Single-cell mRNA sequencing (scRNA-seq) is a powerful method to identify and classify cell
types and reconstruct differentiation trajectories within complex tissues, such as the …

Genes with cell type specific expression typically encode for proteins that have cell type
specific functions. Single cell RNAseq (scRNAseq) has facilitated the identification of such …

In recent single-cell-omics studies, both the differential activity of transcription factors
regulating cell fate determination and differential genome activation have been tested for …

Mutations are acquired frequently, such that each cell's genome inscribes its history of cell
divisions. Common genomic alterations involve loss of heterozygosity (LOH). LOH …

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 …

Abstract Single cell RNA-Seq (scRNA-seq) studies profile thousands of cells in
heterogeneous environments. Current methods for characterizing cells perform …

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